Little Pi's Tech Music Tips ｜ 小皮的聲波速記
Let AI mascot Little Pi give you a fast introduction to the world of electroacoustic music!
讓 AI 吉祥物「小皮」帶你快速認識電聲音樂的世界！
From composers, works, and sound tools to music technology, conferences, and the latest trends, Little Pi delivers one topic worth knowing in about 2–3 minutes of English narration per episode.
從作曲家、作品與聲音工具，到音樂科技、研討會與最新趨勢，小皮每集用約 2～3 分鐘的中文口白，帶你掌握一個值得知道的主題。
Whether you're a composer, musician, student, or a first-time listener to electroacoustic music, join Little Pi for a relaxed, concise journey through the endless possibilities where sound meets technology.
不論你是作曲家、音樂人、學生，還是第一次接觸電聲音樂的聽眾，都可以跟著小皮，用輕鬆、簡潔的方式，探索聲音與科技交會的無限可能。
Electroacoustic music runs deep — Little Pi makes it simple.
電聲音樂很深，小皮幫你說得簡單。
Episodes全部集數
擦 1000 步太慢了！擴散模型怎麼越生越快｜雜訊排程與 DDIM
第38集說擴散模型從雜訊一步步擦出音樂，但到底要擦幾步？每一步擦多少？這集小皮介紹雜訊排程（Noise Schedule）與步數（Sampling Steps）。雜訊排程是訓練時加雜訊的時間表，像把果汁慢慢加水稀釋。2020年DDPM用1000步的線性排程，但加得太快，後面一大段聲音早就不見了，等於白做工；2021年OpenAI的Alex Nichol與Prafulla Dhariwal提出餘弦排程（Cosine Schedule），頭尾放慢，每一步都有事做。生成時若也走1000步太慢，2020年Stanford團隊的DDIM讓同一個模型跨大步，論文實測快10到50倍。步數太少雜訊擦不乾淨、太多則變慢且聽不出分別，Stable Audio Open這類工具常見設定在幾十到一兩百步，還能選不同的取樣器（Sampler）。最後介紹蒸餾（Distillation）、2023年的一致性模型（Consistency Models），以及2025年Stability AI與Arm推出、官方宣稱手機8秒內能生成11秒聲音的Stable Audio Open Small。
1000 Steps Is Too Slow! How Diffusion Models Got Faster: Noise Schedules and DDIM
Episode 38 said diffusion models wipe noise away step by step until music appears. But how many steps, and how much noise per step? Little Pi explains the noise schedule and sampling steps. The noise schedule is the timetable for adding noise during training, like slowly watering down a glass of juice. In 2020 DDPM used a 1000-step linear schedule, but it adds noise too fast, so a long stretch near the end is pure noise and wasted work. In 2021 OpenAI's Alex Nichol and Prafulla Dhariwal proposed the cosine schedule, slowing down at both ends so every step counts. Generating with 1000 steps is too slow, so Stanford's DDIM (2020) lets the same model take big strides, 10 to 50 times faster in the paper's experiments. Too few steps leave grainy hiss, too many are slow with no audible gain; tools like Stable Audio Open usually use a few dozen to one or two hundred steps, with a choice of samplers. Finally: distillation, Consistency Models (2023), and Stable Audio Open Small (2025, Stability AI and Arm), officially generating 11 seconds of audio on a phone in under 8 seconds.
AI 把聲音收進哪裡？潛空間與自編碼器 Latent Space & Autoencoder
第38集說Stable Audio Open在「壓縮過的空間」裡做擴散，那個空間在哪裡？這集小皮介紹潛空間（Latent Space）與自編碼器（Autoencoder）：編碼器把聲音壓小、解碼器再還原，中間最窄的瓶頸只放得下精華，像出國用真空壓縮袋打包行李。瓶頸裡的數字就像地圖座標，相像的聲音會靠在一起——長笛和雙簧管是鄰居，鼓聲住在另一區，這是模型自己整理出來的。2017年Google Magenta的NSynth用約30萬個單音訓練，在長笛和風琴之間取中間點，就得到世界上本來不存在的新音色，還做成實體合成器NSynth Super；2018年MusicVAE能在兩段旋律之間慢慢變過去。2013年的變分自編碼器（VAE）讓每個聲音變成一團雲，地圖沒有破洞。Stable Audio Open用VAE把44.1 kHz立體聲（每秒88,200個數字）壓成每秒21.5格×64個數字，小了約64倍，在小地圖上擴散再解碼，這就是潛在擴散（Latent Diffusion）。最後比較EnCodec（瓶頸後接RVQ變號碼、適合接龍）和Stable Audio（連續座標、適合擴散）。
Where Does AI Keep Sound? Latent Space and Autoencoders Explained
Episode 38 said Stable Audio Open does diffusion inside a compressed space. Where is that space? Little Pi introduces the latent space and the autoencoder: an encoder squeezes sound down, a decoder rebuilds it, and the narrow bottleneck in the middle only fits the essentials, like packing clothes in vacuum storage bags. The numbers in the bottleneck are like map coordinates, and similar sounds end up close together: flute and oboe are neighbors, drums live in another neighborhood, and the model organizes this by itself. In 2017 Google Magenta's NSynth was trained on about 300,000 single notes; taking the point halfway between a flute and an organ yields a brand-new tone color, later built into the NSynth Super hardware synth. In 2018 MusicVAE morphed gradually between melodies. The 2013 Variational Autoencoder (VAE) turns each sound into a small cloud, so the map has no holes. Stable Audio Open uses a VAE to squeeze 44.1 kHz stereo (88,200 numbers per second) into 21.5 frames per second of 64 numbers each, about 64 times smaller, then runs diffusion on that small map and decodes it back: latent diffusion. Finally, EnCodec (RVQ codes after the bottleneck, for token prediction) versus Stable Audio (continuous coordinates, for diffusion).
AI 怎麼知道該聽哪裡？注意力機制 Attention
AI寫第9小節的時候，怎麼知道要回頭看第1小節？這集小皮拆解第37集一句帶過的注意力機制（Attention）。舊方法像傳話遊戲，資訊一格一格往後傳，越傳越忘；注意力讓每一格直接回頭看前面所有格子，打分數（加起來100%），越高分越注意。分數怎麼打：每一格準備查詢（Query）、鑰匙（Key）、內容（Value），拿查詢去對鑰匙，越對得上就讀越多內容，像在圖書館先看書背標籤再決定翻哪本。多頭注意力（Multi-Head Attention）同時用好幾組，各看各的重點，分工由模型自己學。音樂看自己叫自注意力，看文字叫交叉注意力——MusicGen先用T5把文字變成數字，再用交叉注意力回頭看。注意力2014年先用在機器翻譯，2017年《Attention Is All You Need》誕生Transformer，2018年Google Magenta的Music Transformer寫出一分鐘、前後有呼應的鋼琴音樂；代價是格子數變2倍，要比對的組合變4倍。
How Does AI Know Where to Listen? The Attention Mechanism Explained
When AI writes bar nine, how does it know to look back at bar one? Little Pi unpacks the attention mechanism, mentioned briefly in episode 37. Older models worked like a game of telephone, passing information along step by step and forgetting more the farther it went. Attention lets every step look straight back at all earlier steps and give each a score (adding up to 100%): the higher the score, the more attention. How are scores decided? Each step prepares a Query, a Key and a Value; the query is matched against every key, and the better the match, the more of that value gets read, like checking book spines in a library before deciding what to open. Multi-head attention runs several sets at once, each learning its own focus. Music looking at itself is self-attention; looking at text is cross-attention: MusicGen turns the prompt into numbers with T5, then glances back at it with cross-attention. Attention was first used for machine translation in 2014; the 2017 paper Attention Is All You Need gave birth to the Transformer; and in 2018 Google Magenta's Music Transformer wrote minute-long piano music with themes that answer each other. The price: double the steps, four times the comparisons.
AI 的聲音密碼本怎麼越疊越清楚？RVQ 殘差向量量化 Residual Vector Quantization
AI把聲音變成密碼時，為什麼要用好幾本密碼本？這集小皮拆解第36集一句帶過的RVQ（Residual Vector Quantization，殘差向量量化）：編碼器把聲音切成小格、每格變成一串數字（向量），去密碼本找最接近的號碼。只用一本不是太粗糙、就是大到存不下——SoundStream論文的例子：3 kbps、每秒100格，一本要約10億個號碼；改成5本、每本64個，只要320個。RVQ讓每一本只補上一本剩下的差距（殘差），像付錢先用百元鈔、再用十元、一元。EnCodec每秒75格、每本1024個號碼，2本＝1.5 kbps、32本＝24 kbps；MusicGen用4本、每秒50格。SoundStream訓練時隨機只用前幾本（量化器丟棄Quantizer Dropout），一個模型就能選多種音質，也讓第一本最關鍵。多級向量量化最早可追溯到1982年Juang與Gray的語音編碼研究。
How Do AI Audio Codebooks Get Clearer Layer by Layer? Residual Vector Quantization (RVQ) Explained
Why does AI use several codebooks to turn sound into tokens? Little Pi unpacks RVQ, Residual Vector Quantization, mentioned briefly in episode 36. The encoder cuts sound into short slices, turns each into a vector, and looks up the closest entry in a codebook. One codebook is either too rough or too huge: in the SoundStream paper's example, at 3 kbps and 100 slices per second, a single codebook would need about a billion entries, while 5 codebooks of 64 entries need only 320. In RVQ each codebook only fixes what the previous one left over (the residual), like paying with hundreds, then tens, then ones. EnCodec uses 75 slices per second and 1024 entries per codebook: 2 codebooks = 1.5 kbps, 32 = 24 kbps; MusicGen uses 4 codebooks at 50 slices per second. SoundStream's quantizer dropout randomly uses only the first few codebooks during training, so one model supports multiple quality levels and the first codebook carries the most important information. Multi-stage vector quantization goes back to Juang and Gray's 1982 speech coding work.
AI 為什麼聽得懂提示詞？CFG 無分類器引導 Classifier-Free Guidance
明明打了「爵士薩克斯風」，AI卻生出一段鋼琴？這集小皮介紹讓AI乖乖聽話的旋鈕CFG（Classifier-Free Guidance，無分類器引導）。舊做法「分類器引導」（Dhariwal與Nichol，2021）要另外訓練一個評審模型；2021年Jonathan Ho與Tim Salimans改成同一個模型每一步算兩次：一次有提示詞、一次沒有，再把兩者的差距放大（沒提示＋強度×（有提示−沒提示））。訓練時隨機拿掉提示詞，MusicGen就是20%的時間不給提示詞，一個模型身兼兩職。強度怎麼設定：MusicGen預設3（cfg_coef），Stable Audio Open官方範例用7；太高只剩一種聲音、容易失真，而且每步算兩次，生成時間約變兩倍。
Why Does AI Follow Your Prompt? Classifier-Free Guidance (CFG) Explained
You type "jazz saxophone" and get a piano piece? Little Pi introduces CFG, Classifier-Free Guidance, the knob that makes AI follow your prompt. The older classifier guidance (Dhariwal and Nichol, 2021) needed a separate judge model. In 2021, Jonathan Ho and Tim Salimans had the same model calculate twice at every step, once with the prompt and once without, then amplify the difference (unconditional + scale x (conditional - unconditional)). During training the prompt is randomly dropped: MusicGen drops it 20% of the time, so one model does both jobs. How high to set it: MusicGen defaults to 3 (cfg_coef), and Stable Audio Open's official example uses 7. Too high leaves only one sound and can distort, and calculating twice roughly doubles generation time.
AI作曲也在擲骰子？取樣溫度 Temperature 與 top-k、top-p
同一句提示詞按兩次，為什麼生出兩首不一樣的歌？這集小皮拆解AI作曲背後的骰子：自回歸模型每一步給的是一張候選清單，每個候選各有一個百分比（MusicGen每本密碼本有1024種候選）。每次都挑第一名（貪婪解碼）會平淡又一直打轉，所以改成照百分比抽籤。溫度Temperature把分數除以溫度再換成百分比：低溫保守、高溫冒險；top-k只留前k名再抽（MusicGen預設k=250）；top-p（核取樣，Holtzman等人2019）從第一名累加到p就停，名額會自己伸縮。MusicGen預設溫度1、top-k 250、top-p 0（代表不用）。
Is AI Rolling Dice When It Composes? Temperature, Top-k and Top-p
Same prompt, two different songs? Little Pi takes apart the dice behind AI music generation. At every step, an autoregressive model gives a list where every candidate has a probability (each MusicGen codebook has 1,024 candidates). Always picking number one (greedy decoding) is bland and repetitive, so models sample instead. Temperature divides the scores before turning them into probabilities: low is safe, high is risky. Top-k keeps only the top k candidates (MusicGen's default is 250). Top-p, or nucleus sampling (Holtzman et al., 2019), adds probabilities from the top until it passes p, so the number of candidates stretches and shrinks. MusicGen's defaults: temperature 1, top-k 250, top-p 0 (off).
讓旋律自己演化？基因演算法 Genetic Algorithm 作曲
旋律也會演化？這集小皮介紹基因演算法（Genetic Algorithm）：1975年John Holland把達爾文的「適者生存」寫成演算法。先隨機生出一群旋律，每個音就是一個基因，幫每段旋律打分數（適應度）；挑高分的當爸媽，剪一刀前半接後半（交叉Crossover），再偶爾隨機改掉一個音（突變），一代一代重複，好聽的特徵就會慢慢累積。1994年Al Biles的GenJam由人當評審演化爵士即興，還跟他同台輪奏，但遇到「適應度瓶頸」；2012年DarwinTunes讓6931位網友一起打分數，演化2513代，從雜亂聲音冒出和弦與節奏。最後爆料林哪位老師的作品《山椒魚五重奏》也用了基因演算法。
Can Melodies Evolve? Composing with Genetic Algorithms
Can melodies evolve? Little Pi introduces the genetic algorithm, which John Holland turned into a computer method in 1975 based on Darwin's survival of the fittest. Start with a random crowd of melodies, where every note is a gene, and score each one (its fitness). Pick high scorers as parents, cut and join their halves (crossover), and once in a while randomly change a note (mutation). Repeat generation after generation, and good-sounding features pile up. Al Biles's GenJam (1994) evolved jazz solos with a human judge and even traded phrases with him on stage, but ran into the fitness bottleneck. DarwinTunes (2012) let 6,931 listeners rate music loops over 2,513 generations, and chords and rhythms emerged from noise. Plus a secret: Teacher Lin Na-Wei's work Salamander Quintet uses a genetic algorithm too.
AI 作曲也要排隊？MusicGen 的延遲排列 Delay Pattern
四本密碼本要怎麼排隊？這集小皮深入拆解MusicGen的延遲排列（Delay Pattern）。EnCodec每秒50格、每格用RVQ翻四本密碼本，一秒就有200個token要猜。排法一「攤平」一個一個猜，最準但最慢，10秒要2000步；排法二「平行」同一格四本一起猜，10秒只要500步，但各層彼此不知道，像草稿還沒畫好就先上色；排法三「延遲排列」讓每一本晚一步出發，像輪唱卡農，後面的密碼本可以照著前面的草稿補細節，10秒只要503步。2023年MusicGen論文比較這幾種排法，延遲排列品質接近攤平、速度快將近四倍，所以MusicGen選了它。
Does AI Composing Need a Queue? MusicGen's Delay Pattern
How should four codebooks take turns? Little Pi takes a deep dive into MusicGen's delay pattern. EnCodec produces 50 frames per second, and with RVQ each frame has four codebooks, so every second has 200 tokens to guess. Pattern one, flattening, guesses one code at a time: most accurate but slowest, 2,000 steps for 10 seconds. Pattern two, parallel, guesses all four codes of a frame at once: only 500 steps, but the layers can't see each other, like coloring before the sketch is done. Pattern three, the delay pattern, starts each codebook one step later, like singing a canon, so finer codebooks can follow the coarse sketch, and 10 seconds takes only 503 steps. The 2023 MusicGen paper compared these patterns: the delay pattern came close to flattening in quality while running almost four times faster, so MusicGen chose it.
從一團雜訊雕出音樂！擴散模型 Diffusion 與 Stable Audio Open
音樂可以從一團雜訊裡雕出來！這集小皮介紹擴散模型（Diffusion Model）：訓練時把音樂一步步加雜訊，像墨水在水裡擴散，AI學的是猜出每一步加了哪些雜訊；生成時倒過來，從純雜訊出發、一步步減掉雜訊，再用文字描述指路。2020年的DDPM論文讓這個方法大紅；2022年底的Riffusion拿畫圖用的Stable Diffusion來畫頻譜圖，證明聲音也能用畫的；2024年開源的Stable Audio Open在壓縮過的潛空間裡去噪（Latent Diffusion），用T5讀文字、Transformer去噪，最多生成47秒、44.1 kHz立體聲，訓練素材約48萬筆創用CC授權錄音，來自Freesound與Free Music Archive。
Carving Music Out of Noise: Diffusion Models and Stable Audio Open
Music can be carved out of noise! Little Pi introduces diffusion models: during training, music gets a little more noise at each step, like ink spreading in water, and the AI learns to guess the noise added at each step. To generate, it runs in reverse, starting from pure noise and subtracting noise step by step, guided by a text description. The 2020 DDPM paper made this method a big hit. Riffusion (late 2022) used the image model Stable Diffusion to draw spectrograms, showing that sound can be drawn. Stable Audio Open (2024) denoises in a compressed latent space, using T5 for text and a Transformer for denoising, generating up to 47 seconds of 44.1 kHz stereo audio, trained on about 480,000 Creative Commons licensed recordings from Freesound and the Free Music Archive.
AI 作曲就像玩接龍？自回歸生成與 MusicGen
AI作曲其實是在玩接龍？這集小皮介紹自回歸生成（Autoregressive）：就像手機輸入法猜下一個字，模型看著前面所有的音訊token，猜出下一個、接上去、再猜下一個。負責猜的Transformer用注意力機制回頭看前面的節奏與主題，OpenAI 2020年的Jukebox就走這條路。Meta 2023年開源的MusicGen用32 kHz EnCodec、4本密碼本、每秒50格，靠「延遲排列」讓4本密碼本錯開一格一起猜，每秒音樂只要接50步；它用T5讀懂文字描述，melody版還能照你哼的旋律生成，以兩萬小時授權音樂訓練，有3億、15億、33億參數三種大小。
Is AI Composing Just a Word Chain Game? Autoregressive Generation and MusicGen
Is AI composing just a word chain game? Little Pi introduces autoregressive generation: like a phone keyboard guessing your next word, the model looks at all previous audio tokens, guesses the next one, adds it, and guesses again. The Transformer doing the guessing uses attention to look back at earlier rhythms and themes; OpenAI's Jukebox (2020) took this path. Meta's MusicGen, open-sourced in 2023, uses a 32 kHz EnCodec with four codebooks at 50 frames per second, and its delay pattern offsets the codebooks by one step so they can be predicted together, so each second of music takes only 50 steps. It reads text with T5, the melody version can follow a tune you hum, and it was trained on 20,000 hours of licensed music in 300M, 1.5B and 3.3B parameter sizes.
AI 怎麼「讀懂」聲音？神經音訊編碼器 EnCodec 與 X-Codec
AI寫歌之前，得先學會「讀」聲音！這集小皮介紹神經音訊編碼器（Neural Audio Codec）：一秒聲音有兩萬四千個數字，太多太細，所以要用編碼器壓成密碼、再用解碼器還原——代表作有Google 2021年的SoundStream和Meta 2022年的EnCodec（最低1.5 kbps）。密碼怎麼來？RVQ（殘差向量量化）用好幾本密碼本，第一本抓輪廓、下一本補誤差，一層一層補細節；2024年的X-Codec在進密碼本前先加入HuBERT的語意特徵，讓token更好懂，開源歌曲生成模型YuE就用它的精簡版。這些音訊token，就是MusicGen、YuE等音樂生成AI的基礎。
How Does AI "Read" Sound? Neural Audio Codecs EnCodec and X-Codec
Before AI can write a song, it has to learn to read sound! Little Pi introduces neural audio codecs: one second of audio has 24,000 numbers, far too many and too fine, so an encoder squeezes sound into codes and a decoder turns them back into sound. Examples include Google's SoundStream (2021) and Meta's EnCodec (2022, as low as 1.5 kbps). Where do the codes come from? RVQ (residual vector quantization) stacks several codebooks: the first captures the outline, the next fills in the error, layer by layer. X-Codec (2024) adds HuBERT semantic features before the codebooks so the tokens are easier for AI to understand, and the open-source song model YuE uses a compact version of it. These audio tokens are the foundation of music generation models like MusicGen and YuE.
把人聲從歌裡抽出來！AI 聲源分離 Source Separation 是怎麼做到的？
混好的歌還能拆開？這集小皮介紹聲音工程的「聲源分離」（Source Separation）：從1953年柯林·徹瑞（Colin Cherry）提出的「雞尾酒會問題」說起，解釋最常見的做法——把聲音轉成頻譜圖（Spectrogram），讓AI判斷每個時間頻率格子屬於誰，再用遮罩（Mask）把人聲留下；AI則是在MUSDB18（150首歌、人聲／鼓／貝斯／其他四軌）這類資料集上反覆練習學會的。代表工具有Deezer 2019年開源的Spleeter，以及Meta開發、2022年第4版加入Transformer的Demucs。最感人的應用：披頭四2023年〈Now and Then〉，用AI從約翰·藍儂1970年代末的卡帶demo裡分離出乾淨歌聲。
Pulling Vocals Out of a Song: How AI Source Separation Works
Can a finished mix be taken apart? Little Pi explains source separation, starting from the cocktail party problem described by Colin Cherry in 1953. The most common approach turns sound into a spectrogram, lets AI decide which source each time-frequency square belongs to, and applies a mask to keep only the vocals. The AI learns from datasets like MUSDB18 (150 songs split into vocals, drums, bass and other). Two famous tools: Spleeter, open-sourced by Deezer in 2019, and Meta's Demucs, whose fourth version in 2022 added a Transformer. The most touching use: the Beatles' 2023 song Now and Then, where AI separated John Lennon's voice from a late-1970s cassette demo.
和弦為什麼聽起來刺刺的？感官不協和曲線 Sensory Dissonance Curve
音程順不順耳，其實可以算出來！這集小皮介紹聲音工程的「感官不協和曲線」（Sensory Dissonance Curve）：兩個頻率很接近會產生拍頻，起伏變快就成了粗糙感（Roughness），亥姆霍茲1863年就提出這是不協和的主要來源；1965年普倫普與勒維特（Plomp & Levelt）的聽力實驗發現，兩個純音大約在臨界頻帶的四分之一最刺耳；把兩個音所有泛音的粗糙感加總，曲線的谷底剛好落在八度、五度、四度、大三度。塞塔瑞斯（William Sethares）1993年論文與1998年專書《Tuning, Timbre, Spectrum, Scale》進一步指出：木琴、鐘聲、甘美朗等泛音不整齊的聲音，谷底會搬家——音色和音階是一對搭檔，可以先設計音色再設計音階。
Why Do Some Chords Sound Prickly? The Sensory Dissonance Curve
Whether an interval sounds smooth can actually be calculated! Little Pi introduces the sensory dissonance curve: two close frequencies create beats, and faster beats turn into roughness, which Helmholtz proposed in 1863 as the main source of dissonance. In 1965, Plomp and Levelt's listening experiments found that two pure tones sound roughest at about a quarter of a critical band. Add up the roughness between all the overtones of two notes, and the curve's valleys land on the octave, fifth, fourth and major third. William Sethares (1993 paper; 1998 book Tuning, Timbre, Spectrum, Scale) showed that for sounds with uneven overtones, like xylophones, bells and gamelan, the valleys move: timbre and scale are partners, so you can design the timbre first and then the scale.
把噪音變成音樂的人：具象音樂之父皮耶·薛佛 Pierre Schaeffer
火車聲、鍋子聲也能變成音樂？這集小皮介紹具象音樂（musique concrète）之父皮耶·薛佛（Pierre Schaeffer）：1910年生於法國南錫，工程師出身，1942年在法國廣播電台成立實驗工作室Studio d'Essai；1948年10月5日電台播出「噪音音樂會」，發表《五首噪音練習曲》（Cinq études de bruits），包含《鐵道練習曲》；用蟲膠唱片的封閉溝紋讓聲音無限循環，是Loop的老祖宗；1950年與皮耶·亨利（Pierre Henry）合作《一個人的交響曲》（Symphonie pour un homme seul）；1951年成立具象音樂研究團體、1958年改組為GRM；提出「聲音物件」與Acousmatic（只聽聲音、看不到來源）的概念；1966年出版《音樂物件論》（Traité des objets musicaux）。學生包括伊莉安·哈迪格、尚-米歇·賈爾。
The Man Who Turned Noise into Music: Pierre Schaeffer, Father of Musique Concrète
Can trains and pots and pans become music? Little Pi introduces Pierre Schaeffer, the father of musique concrète: born in Nancy, France in 1910 and trained as an engineer, he founded the Studio d'Essai at French radio in 1942. On October 5, 1948, the radio broadcast a "concert of noises" premiering his Cinq études de bruits, including the Railway Study. He cut closed grooves into shellac records to loop sounds forever, the ancestor of today's loop. In 1950 he and Pierre Henry created Symphonie pour un homme seul. He founded a musique concrète research group in 1951, reorganized as the GRM in 1958, and introduced the ideas of the sound object and acousmatic listening (hearing a sound without seeing its source). His 1966 Traité des objets musicaux summed up twenty years of research. His students included Éliane Radigue and Jean-Michel Jarre.
讓合成器開口說話：聲碼器Vocoder是什麼？
電子歌裡的機器人唱歌，其實是人聲控制合成器！這集小皮介紹聲碼器（Vocoder）：貝爾實驗室的荷馬·杜德利（Homer Dudley）1938年取得專利，原本是為了壓縮講話、節省長途電話頻寬；原理是把人聲切成多個頻帶，用每個頻帶的音量起伏控制合成器；二戰時成為盟軍加密電話SIGSALY的核心（1943年啟用，重達50多公噸）；1970年溫蒂·卡洛斯與羅伯特·穆格打造十頻帶聲碼器，用在1971年電影《發條橘子》配樂；之後Kraftwerk《Autobahn》（1974）一路影響到電子舞曲與嘻哈。最後分辨聲碼器、Talk Box與Auto-Tune的差別。想自己玩：Logic Pro內建的EVOC 20 PolySynth就是聲碼器。
Make a Synthesizer Talk! What Is a Vocoder?
That robot singing in electronic songs is really a human voice controlling a synthesizer! Little Pi introduces the vocoder: Homer Dudley at Bell Labs patented it in 1938 to compress speech and save telephone bandwidth. It splits the voice into frequency bands and uses each band's loudness to control a synthesizer. In World War Two it became the heart of SIGSALY, the Allies' encrypted phone system (in use from 1943, weighing over 50 tonnes). In 1970 Wendy Carlos and Robert Moog built a ten-band vocoder for the 1971 film A Clockwork Orange, and Kraftwerk's Autobahn (1974) carried it into pop, dance music and hip-hop. Plus: how a vocoder differs from a talk box and Auto-Tune. Try it yourself with EVOC 20 PolySynth in Logic Pro.
用合成器演奏巴哈！《電氣化的巴哈》溫蒂·卡洛斯Wendy Carlos
1968年，一張用合成器演奏巴哈的專輯拿下三座葛萊美！這集小皮介紹溫蒂·卡洛斯（Wendy Carlos）：在布朗大學念物理和音樂，1965年取得哥倫比亞大學作曲碩士；1964年認識羅伯特·穆格，說服他加上力度感應鍵盤；當時的合成器一次只能發一個音，《電氣化的巴哈》（Switched-On Bach）用八軌錄音機一層層疊，花了約1,100小時，登上古典專輯榜冠軍長達三年；之後為《發條橘子》《鬼店》《電子世界爭霸戰》配樂，1986年在《Beauty in the Beast》把一個八度分成35個音，2005年獲SEAMUS終身成就獎。
Bach on a Synthesizer! Wendy Carlos and Switched-On Bach
In 1968, an album of Bach played on a synthesizer won three Grammy Awards! Little Pi introduces Wendy Carlos, who studied physics and music at Brown University and earned a master's in composition from Columbia in 1965. She met Robert Moog in 1964 and convinced him to add a touch-sensitive keyboard. Because the synthesizer could only play one note at a time, Switched-On Bach was built up layer by layer on an eight-track recorder over about 1,100 hours, and it topped the classical albums chart for three years. She went on to score A Clockwork Orange, The Shining and Tron, divided the octave into 35 notes on Beauty in the Beast in 1986, and received the SEAMUS Lifetime Achievement Award in 2005.
讓聲音穩穩的魔法盒：壓縮器Compressor是什麼？
錄音室裡有一個神奇的盒子，聲音一太大聲就自動把音量拉下來！這集電聲小知識，小皮介紹壓縮器（Compressor）：它壓的是「動態範圍」，跟MP3的檔案壓縮完全不同；門檻（Threshold）與比例（Ratio，例如4:1）、Attack與Release、補償增益（Makeup Gain），比例10:1以上就是限制器；Sidechain與Ducking讓主持人一開口背景音樂就自動變小；還有傳奇機器——1959年萊恩·納爾馬設計的Fairchild 660真空管壓縮器，艾比路錄音室一口氣買了12台，造就披頭四《Revolver》《Sgt. Pepper》的鼓聲，以及比爾·普特南的公司做出的1176和LA-2A。
The Box That Keeps Sound Steady: What Is a Compressor?
There's a magical box in the recording studio that pulls the volume down whenever a sound gets too loud! In this audio tip, Little Pi introduces the compressor: it squeezes dynamic range, which is completely different from MP3 file compression. Learn about threshold and ratio (like 4:1), attack and release, and makeup gain, and how a ratio of 10:1 or more turns it into a limiter. Find out how sidechain and ducking make background music drop the moment a host starts talking, and meet some legendary machines: the 1959 Fairchild 660 tube compressor designed by Rein Narma, twelve of which were bought by Abbey Road Studios and shaped the drum sound of the Beatles' Revolver and Sgt. Pepper, plus the 1176 and LA-2A from Bill Putnam's company.
一棟會唱歌的建築：1958世博飛利浦館與瓦雷茲《電子詩篇》
1958年布魯塞爾世界博覽會上，有一棟牆裡藏了好幾百顆喇叭、走進去就會唱歌的建築！這集小皮介紹飛利浦館：電子公司飛利浦委託建築大師柯比意，他想做的不是展示館而是一首「電子詩」；實際操刀的澤納基斯（Iannis Xenakis）同時也是作曲家，用九片雙曲拋物面蓋出尖尖的帳篷造型；作曲家瓦雷茲（Edgard Varèse）主張「組織過的聲音」，1931年就寫出只用敲擊聲的《Ionisation》；他在1957年9月到1958年4月做出約8分鐘的《電子詩篇》（Poème électronique），用三軌錄音帶播放，再由工作人員用電話撥盤把聲音送到牆上三、四百顆喇叭裡，在觀眾身邊移動——最早的沉浸式音響之一。展館在1959年1月30日拆除，後來歐盟資助了虛擬重建計畫。
The Singing Building: The 1958 Philips Pavilion and Varèse's Poème électronique
At the 1958 Brussels World's Fair, there was a building with hundreds of loudspeakers hidden in its walls, and it sang when you walked in! In this episode, Little Pi introduces the Philips Pavilion: commissioned by the electronics company Philips from architect Le Corbusier, who wanted not a showroom but an "electronic poem"; designed by Iannis Xenakis, also a composer, from nine hyperbolic paraboloids; and filled with Edgard Varèse's Poème électronique. Varèse, who championed "organized sound" and wrote the all-percussion Ionisation in 1931, created the roughly eight-minute piece from September 1957 to April 1958. Played from three tape tracks, it was routed with telephone dials through three to four hundred wall-mounted speakers, moving around the audience: one of the earliest immersive sound systems. The pavilion was demolished on January 30, 1959, and was later rebuilt virtually in an EU-funded project.
聲音也能修圖？等化器EQ大解密
拍照可以加濾鏡，聲音也可以「修圖」！這集電聲小知識，小皮介紹等化器（Equalizer，EQ）：人耳約20Hz～20kHz的聽覺範圍，低頻、中頻、高頻各管什麼；「Equalize」這個名字來自把電話線損失的高頻補回來、拉平；1920年代RCA工程師約翰·沃爾克曼（John Volkman）把等化器用在電影院放音系統；高通／低通、架式（Shelf）、鐘形（Bell）、圖形式與參數式EQ——1971年丹尼爾·弗利金傑（Daniel Flickinger）推出第一台參數式等化器，1972年喬治·馬森伯格（George Massenburg）在AES大會正式命名；還有1953年成立的Pultec與1961年經典真空管等化器EQP-1A的「Pultec招式」。最後附上EQ小撇步：先切掉不要的，再推大想要的！
Can You Retouch Sound? The Equalizer (EQ) Explained
You can add a filter to a photo, and you can retouch sound, too! In this audio tip, Little Pi introduces the equalizer (EQ): the roughly 20 Hz to 20 kHz range of human hearing and what the lows, mids and highs each do; how the name "equalize" comes from restoring the high frequencies lost on telephone lines; RCA engineer John Volkman using equalization in a movie theater sound system in the 1920s; high-pass and low-pass filters, shelf and bell filters, and graphic versus parametric EQ, with Daniel Flickinger introducing the first parametric equalizer in 1971 and George Massenburg naming parametric equalization at the AES convention in 1972; plus Pultec, founded in 1953, and the famous "Pultec trick" on its classic 1961 EQP-1A tube equalizer. And a mixing tip: cut before you boost!
慢慢聽的電子音樂：嗡鳴女王伊莉安·哈迪格Éliane Radigue
今年二月，法國電子音樂先驅伊莉安·哈迪格（Éliane Radigue，1932–2026）以94歲辭世，小皮用這集紀念她。從1955年跟具象音樂創始人皮耶·薛佛學習、擔任皮耶·亨利的助手，到迷上別人想避開的回授聲；從1974年《Adnos I》起，一台ARP 2500合成器用了25年，做出像在呼吸的持續音；受藏傳佛教啟發、長達三小時的《死亡三部曲》；2006年以《L'Île re-sonante》獲得Ars Electronica金尼卡獎；到2001年後轉向為真人演奏家創作、2011年從豎琴獨奏《Occam I》展開的Occam系列。最後，小皮教你怎麼慢慢聽她的音樂。
Music for Slow Listening: Drone Pioneer Éliane Radigue
This February, French electronic music pioneer Éliane Radigue (1932–2026) passed away at 94, and Little Pi dedicates this episode to her. From studying with musique concrète founder Pierre Schaeffer in 1955 and assisting Pierre Henry, to falling in love with the feedback everyone else tried to avoid; from Adnos I in 1974, when she began 25 years with a single ARP 2500 synthesizer, shaping slow, breathing drones; to the three-hour Trilogie de la Mort, inspired by Tibetan Buddhism; the 2006 Golden Nica at Prix Ars Electronica for L'Île re-sonante; and, from 2001 on, writing for live performers, including the Occam series that began with Occam I for harp in 2011. Plus Little Pi's tip for listening slowly.
為什麼在浴室唱歌特別好聽？殘響Reverb大解密
為什麼在浴室唱歌特別好聽？答案是殘響（Reverb）。這集電聲小知識，小皮介紹：殘響和回音的差別；1895年哈佛物理學家賽賓（Wallace Sabine）拯救餘音長達5.5秒的演講廳，提出殘響時間RT60，並參與設計1900年落成的波士頓交響樂廳；1947年比爾·普特南把女廁變成迴響室；1957年重約270公斤的EMT 140鋼板殘響；1976年第一台商用數位殘響EMT 250；以及用脈衝響應「複製」真實空間的卷積殘響。最後附上加殘響的小撇步：不是越多越好！
Why Do You Sound Better in the Shower? Reverb Explained
Why do you sound like a star when you sing in the shower? The answer is reverb. In this audio tip, Little Pi explains the difference between reverb and echo; how Harvard physicist Wallace Sabine rescued a lecture hall where words lingered for 5.5 seconds in 1895, defined reverberation time (RT60), and helped design Boston Symphony Hall, which opened in 1900; Bill Putnam turning a women's restroom into an echo chamber in 1947; the roughly 270-kilogram EMT 140 plate reverb of 1957; the EMT 250, the first commercial digital reverb, in 1976; and convolution reverb, which captures a real space with an impulse response. Plus a mixing tip: more reverb isn't always better!
SEAMUS不是一個人？！美國電聲音樂學會大解密
SEAMUS是誰？其實它是美國電聲音樂學會（Society for Electro-Acoustic Music in the United States）的縮寫。這集小皮介紹：1984年由作曲家Barry Schrader發起、在CalArts召開首次會議；每年的全國大會（2027年在路易斯安那州立大學，主題包含AI）；從1987年開始頒發的SEAMUS Award，得主包括John Chowning、Max Mathews、Laurie Spiegel、Suzanne Ciani與巴倫夫婦；以及給學生的ASCAP/SEAMUS委託創作比賽。另外，林哪位老師的8聲道沉浸式電聲音景作品《Lava's Roaring Dance》也曾在2025年普渡大學的SEAMUS全國大會演出。
SEAMUS Isn't a Person?! Meet the Society for Electro-Acoustic Music in the United States
Who is SEAMUS? It's actually the Society for Electro-Acoustic Music in the United States. In this episode, Little Pi covers its founding in 1984 by composer Barry Schrader at CalArts, its annual national conference (2027 at Louisiana State University, with AI among the themes), the SEAMUS Award given since 1987 to John Chowning, Max Mathews, Laurie Spiegel, Suzanne Ciani, Bebe and Louis Barron and more, and the ASCAP/SEAMUS student commission competition. Plus, Teacher Lin Na-Wei's eight-channel immersive electroacoustic soundscape Lava's Roaring Dance was performed at the 2025 SEAMUS national conference at Purdue University.
第一部全電子配樂電影！《禁忌星球》背後的巴倫夫婦Bebe & Louis Barron
1956年科幻電影《禁忌星球》（Forbidden Planet）的配樂沒有任何傳統樂團，全部是電子聲音，幕後功臣是巴倫夫婦（Bebe & Louis Barron）。這集小皮介紹他們：結婚禮物是一台磁帶錄音機，在紐約格林威治村開了可能是美國第一間電子音樂工作室，幫約翰·凱吉剪接《Williams Mix》；受維納《控制論》啟發，故意讓自製電路過載來產生聲音；片頭字幕因工會問題只能寫「Electronic Tonalities」。
The First All-Electronic Film Score: Bebe and Louis Barron and Forbidden Planet
The 1956 sci-fi film Forbidden Planet has a score with no traditional orchestra at all, only electronic sounds, created by the married couple Bebe and Louis Barron. In this episode, Little Pi tells their story: a tape recorder received as a wedding gift, a studio in Greenwich Village that may have been the first electronic music studio in the United States, engineering John Cage's Williams Mix, and building circuits inspired by Norbert Wiener's Cybernetics that they deliberately overloaded to make sound. Because of a union issue, the film credits could only say Electronic Tonalities.
為什麼混音要用監聽喇叭？監聽喇叭怎麼選、怎麼擺
家裡的音響讓音樂更好聽，監聽喇叭卻要讓你聽見聲音本來的樣子。這集小皮介紹監聽喇叭為什麼追求平直的頻率響應、主動式和被動式的差別、低音單體尺寸要跟著房間大小挑，以及比價錢更要緊的擺位：等邊三角形、高音單體對準耳朵、離後牆遠一點；最後聊聊以「不討好」出名的經典Yamaha NS-10，和混完音多換幾種設備聽的好習慣。
Why Mix on Studio Monitors? How to Choose and Place Them
Home stereos make music sound nicer, but studio monitors let you hear the sound as it really is. In this episode, Little Pi explains why monitors aim for a flat frequency response, the difference between active and passive monitors, why woofer size should match your room, and why placement matters more than price: an equilateral triangle, tweeters at ear height, and some distance from the back wall. Finally, meet the famously unflattering Yamaha NS-10 and learn the habit of checking your mix on several different devices.
不用碰就能演奏！特雷門琴女王克拉拉·羅克摩爾Clara Rockmore
有一種電子樂器手完全不用碰就能演奏，它就是特雷門琴。這集小皮介紹特雷門琴女王克拉拉·羅克摩爾（Clara Rockmore）：四歲考進聖彼得堡音樂院的小提琴神童，青少年時因手臂肌腱發炎放下琴弓，在美國結識發明家萊昂·特雷門後成為特雷門琴最知名的演奏家，發展出獨特的空中指法；1977年專輯《The Art of the Theremin》由羅伯特·穆格夫婦製作、姊姊娜迪亞·萊森伯格鋼琴伴奏。
Playing Without Touching: Clara Rockmore, Queen of the Theremin
There's an electronic instrument you can play without touching it at all: the theremin. In this episode, Little Pi introduces Clara Rockmore, queen of the theremin. A violin prodigy admitted to the Saint Petersburg Conservatory at age four, she gave up the violin after developing tendinitis as a teenager. After meeting inventor Leon Theremin in America, she became the instrument's best known player and developed her own aerial fingering technique. Her 1977 album The Art of the Theremin was produced by Robert and Shirleigh Moog, with her sister Nadia Reisenberg on piano.
為什麼每首歌上串流平台都一樣大聲？響度LUFS是什麼
為什麼在串流平台上一首接一首聽，音量卻都差不多？這集小皮從「響度戰爭」講起，介紹依照ITU-R BS.1770標準、模擬人耳聽感的響度單位LUFS：數字通常是負的、越接近0越大聲，歐洲廣播標準EBU R128建議負23 LUFS，Spotify預設播放在負14 LUFS左右；再聊平台的響度正規化，為什麼硬壓得很大聲的歌反而吃虧，以及自己做音樂時該怎麼留峰值空間。
Why Do All Songs Sound Equally Loud on Streaming? What Is LUFS?
Why do songs on streaming platforms all sound about equally loud, one after another? Little Pi starts with the loudness war, then introduces LUFS, the loudness unit defined by the ITU-R BS.1770 standard that imitates how human ears hear. LUFS numbers are usually negative, and closer to zero means louder: the EBU R128 broadcast recommendation targets minus 23 LUFS, while Spotify plays back at around minus 14 LUFS by default. Finally, learn how loudness normalization works, why over-squashed masters lose out, and why you should leave headroom for peaks in your own music.
轉旋鈕、踩踏板，電腦怎麼知道？MIDI CC控制訊號是什麼
MIDI鍵盤上的旋鈕、推桿、踏板一動，電腦裡的聲音就跟著變，背後的功臣就是MIDI CC（控制變更）。這集小皮帶你看懂一則CC訊息的組成——控制編號加上數值，範圍都是0到127；認識最常見的幾個編號：1號調變輪、7號音量、10號左右位置、11號表情、64號延音踏板；最後聊聊在編曲軟體裡畫CC曲線做自動化的用法。
Twist a Knob, Press a Pedal: What Is MIDI CC?
Turn a knob, push a fader, or press a pedal on a MIDI keyboard, and the sound in your computer changes. The hero behind it is MIDI CC (Control Change). In this episode, Little Pi explains what's inside a CC message: a controller number plus a value, both ranging from 0 to 127. Meet the most common numbers: 1 for the modulation wheel, 7 for volume, 10 for pan, 11 for expression, and 64 for the sustain pedal. Finally, learn how drawing CC curves in your music software creates automation.
同一首歌換藍牙耳機音質差這麼多？SBC/AAC/aptX/LDAC是什麼
同一首歌換一副藍牙耳機聽起來差這麼多，關鍵其實藏在音訊編碼裡。這集小皮帶你搞懂SBC、AAC、aptX、LDAC這幾個常見編碼的差異：SBC是藍牙規範裡人人都要支援的基本款，AAC是蘋果生態系愛用的編碼，aptX主打低延遲、LDAC主打高解析度，最後也整理挑選重點，教你怎麼從iPhone或Android裝置判斷該注意哪個編碼。
Same Song, Different Sound: What Are SBC/AAC/aptX/LDAC Bluetooth Codecs?
The same song can sound noticeably different depending on which Bluetooth headphones you use, and the reason is hiding in the audio codec. In this episode, Little Pi breaks down SBC, AAC, aptX, and LDAC: SBC is the baseline every Bluetooth device must support, AAC is the codec favored by the Apple ecosystem, aptX focuses on low latency, LDAC focuses on high resolution, and finally, how to tell which codec to look for depending on whether you use an iPhone or an Android device.
被送上太空的電腦作曲家蘿莉·史匹格 Laurie Spiegel
1977年旅行者號太空船帶著一張金唱片飛出太陽系，開場的其中一首曲子，是電腦作曲家蘿莉·史匹格的作品。這集小皮介紹她：從自學民謠吉他，到在貝爾實驗室用早期電腦系統創作、參與開發電腦繪圖系統，1980年專輯《The Expanding Universe》被公認是環境音樂的重要作品，1986年推出讓一般人也能玩演算法作曲的軟體《Music Mouse》。
Her Music Flew Into Space: Computer Composer Laurie Spiegel
In 1977 the Voyager spacecraft carried a golden record out of the solar system, and one of the pieces opening its \"Sounds of Earth\" section was by computer composer Laurie Spiegel. In this episode, Little Pi introduces her: from self-taught folk guitar to making music on early computer systems at Bell Labs and helping develop computer graphics systems, her 1980 album \"The Expanding Universe\" hailed as a landmark of ambient music, and \"Music Mouse\" (1986), software that let anyone play with algorithmic composition.
麥克風怎麼選？動圈、電容、指向性一次搞懂
想開始錄音、做Podcast，卻被動圈、電容、指向性這些麥克風名詞搞得頭昏眼花？這集小皮用最簡單的方式帶你搞懂：動圈麥克風為什麼耐用又適合現場、電容麥克風為什麼靈敏卻需要48伏特幻象電源、心形／全指向／8字形指向性怎麼看，還有USB與XLR接頭的差別，最後依使用情境教你怎麼選。
How to Choose a Microphone: Dynamic, Condenser, and Polar Patterns
Want to start recording or make a podcast, but dynamic, condenser, and polar patterns have your head spinning? In this episode, Little Pi explains it simply: why dynamic microphones are tough and great for live use, why condenser microphones are sensitive but need 48-volt phantom power, how to read cardioid, omnidirectional, and figure-eight patterns, and the difference between USB and XLR connections, then how to choose based on your situation.
用電腦寫出第一段音樂！電腦音樂之父馬克斯·馬修斯 Max Mathews
這集小皮介紹被尊稱為「電腦音樂之父」的馬克斯·馬修斯（Max Mathews）。他原本是貝爾實驗室的電機工程師，1957年在IBM 704大型電腦上寫出第一個電腦音樂程式MUSIC，1961年團隊讓電腦合成人聲演唱《黛西貝爾》，這段示範後來還成為《2001太空漫遊》中哈爾九千唱歌橋段的靈感來源。他提出的「單元產生器」積木式設計概念，影響了Csound、SuperCollider、ChucK等後來所有的音樂程式語言。
Writing Music with a Computer for the First Time! Max Mathews, Father of Computer Music
In this episode, Little Pi introduces Max Mathews, honored as the "father of computer music." An electrical engineer at Bell Labs, he wrote MUSIC, the first computer music program, on an IBM 704 mainframe in 1957. In 1961 his colleagues had a computer sing "Daisy Bell" with a synthesized voice, a demo that later inspired the scene where HAL 9000 sings in "2001: A Space Odyssey." His "unit generator" building-block design shaped Csound, SuperCollider, ChucK, and nearly every music programming language since.
可口可樂那聲「啵」是她做的？被葛萊美提名五次的合成器先驅蘇珊妮·奇亞尼
廣告裡可口可樂經典的開瓶＋氣泡聲，其實是一位作曲家用合成器精心設計出來的作品！這集小皮介紹電聲音樂界傳奇人物蘇珊妮·奇亞尼（Suzanne Ciani）——她是Buchla模組合成器的頂尖高手，靠商業配樂闖出名號，又以專輯《Seven Waves》開創「新世紀音樂」類型，五度入圍葛萊美獎，沉寂多年後又被新一代重新發現，重返舞台舉辦現場模組合成器演出。
Who Designed That Coca-Cola "Pop"? Synthesizer Pioneer Suzanne Ciani
That iconic pop-and-fizz sound in Coca-Cola commercials was actually designed by a composer using a synthesizer. In this episode, Little Pi introduces a legend of electronic music - Suzanne Ciani. A top expert on the Buchla modular synthesizer, she built her name through commercial sound design, pioneered the New Age music genre with her album "Seven Waves," earned five Grammy nominations, and was rediscovered by a new generation after years out of the spotlight, returning to the stage for live modular synthesizer performances.
耳機百百款到底怎麼選？監聽耳機、降噪耳機一次搞懂
入耳式、耳罩式、開放式、封閉式……耳機種類多到讓人頭昏眼花？這集小皮用最簡單的方式，一次搞懂耳機的四大分類、監聽耳機跟一般消費耳機的差別，還有主動降噪（ANC）背後的原理，最後依通勤、混音創作、運動健身三種使用情境，教你怎麼挑一副真正適合自己的耳機。
How to Choose Headphones: Studio Monitors, Noise Cancelling, and More
Earbuds, over-ear, open-back, closed-back... headphone types can be overwhelming. In this episode, Little Pi breaks down the four main headphone categories, explains the difference between studio monitor headphones and regular consumer headphones, and shows how active noise cancelling (ANC) actually works. Then, based on three real-life scenarios - commuting, mixing and music production, and working out - Little Pi helps you find the headphones that are actually right for you.
合成器怎麼「捏」出聲音？減法合成與ADSR包絡
接續上一集的MIDI，這集小皮講合成器怎麼真正「發出聲音」——先用振盪器做出一個泛音超豐富、又吵又刺耳的原始波形，再用濾波器把不要的頻率削掉，最後靠ADSR包絡線（起音、衰減、延持、釋音）決定聲音的個性。同一個波形調一調包絡，就能從打擊聲變成拉弦樂器那種鋪底音色，這套邏輯幾乎所有合成器都通用。
How Does a Synth Actually "Sculpt" Sound? Subtractive Synthesis and the ADSR Envelope
Following up on MIDI, Little Pi explains how a synthesizer actually makes a sound: an oscillator generates a raw, overtone-rich, harsh waveform, a filter carves away the unwanted frequencies, and the ADSR envelope (attack, decay, sustain, release) gives the sound its personality. Tweak the envelope on the exact same waveform and you can go from a drum hit to a lush string-like pad - a logic that applies to nearly every synthesizer out there.
MIDI到底是什麼？不是錄音檔，是一張演奏指令表
MIDI檔案裡其實完全沒有錄到聲音？這集小皮解釋MIDI跟MP3、WAV的根本差別——它記錄的不是聲波，而是一張精細的演奏指令表。從1983年讓不同品牌合成器互相溝通的標準誕生，講到為什麼MIDI檔案這麼小、還能隨時換樂器演奏，以及它四十幾年來一直被遊戲配樂、電影配樂、AI作曲工具使用的原因。
What Is MIDI, Really? Not a Recording, an Instruction Sheet
A MIDI file doesn't actually contain any recorded sound? Little Pi explains the core difference between MIDI and MP3 or WAV: it doesn't store a waveform, it stores a detailed performance instruction sheet. From the 1983 standard that let synthesizers from different brands talk to each other, to why MIDI files are so tiny and can switch instruments instantly, to why it's still used everywhere from game scores to AI music tools over forty years later.
MP3、AAC、FLAC、WAV到底差在哪？音樂檔案格式一次搞懂
同一首歌，MP3只要幾MB，WAV卻要幾十MB？這集小皮解釋有損／無損壓縮的差別，帶大家搞懂MP3、AAC、FLAC、WAV這幾個常見音樂檔案格式到底差在哪，還有平常聽歌、重視音質、進錄音室後製，各自該怎麼選。
MP3 vs AAC vs FLAC vs WAV: What's the Real Difference?
Same song, wildly different file sizes: MP3 is a few MB, WAV is dozens of MB. Little Pi explains lossy vs lossless compression and breaks down MP3, AAC, FLAC, and WAV, plus which one to pick for casual listening, quality-focused listening, or studio production.
顫音轉太快，意外發明整個80年代的聲音！FM合成之父約翰·喬寧
史丹佛教授John Chowning在1967年做顫音實驗，把「搖晃速度」開到遠超正常範圍，意外發現FM合成技術，後來授權給Yamaha做出DX7合成器，定義了整個80年代流行樂音色，2026年2月終於拿到葛萊美技術獎。
He Cranked a Vibrato Too Far and Invented the Sound of the 80s: John Chowning and FM Synthesis
Stanford professor John Chowning was experimenting with vibrato in 1967 and pushed the wobble speed far past any normal range, accidentally discovering FM synthesis. Yamaha later licensed the technology to build the DX7, which defined the sound of 1980s pop music. In February 2026, Chowning finally received a Technical Grammy Award for the discovery.
取樣率是什麼？CD音質背後那個怪數字44.1kHz是怎麼來的
「電聲小知識」系列首發！CD音質常寫著44100這個怪數字，這集小皮解釋取樣率是什麼、奈奎斯特取樣定理，還有44100這個零頭其實是1980年代CD規格制定時，向錄影帶技術妥協留下的歷史遺跡。
What Is Sample Rate? The Strange Number Behind CD Audio Quality
First episode of a new mini-series on everyday audio-tech trivia. CD audio quality is always labeled 44100, an oddly specific number. Little Pi explains what sample rate actually means, the Nyquist sampling theorem, and how that leftover 100 traces back to a compromise with 1980s videotape technology.
用畫的畫出一首歌？！Oramics發明人戴芬·奧蘭姆
有人在還沒有電腦繪圖軟體的年代，就想到「乾脆用畫的畫出聲音」！介紹英國電子音樂先驅戴芬·奧蘭姆——她共同創辦了BBC的Radiophonic Workshop電子音效部門，卻在成立不到一年後就自己辭職，全心投入研發Oramics：一台能把手繪波形轉換成聲音的機器，概念上早就預告了今天音樂軟體裡的自動化曲線。
She Drew Sound Onto Film: Oramics Inventor Daphne Oram
Someone figured out how to draw sound long before graphic design software even existed. Little Pi introduces British electronic music pioneer Daphne Oram, who co-founded the BBC's Radiophonic Workshop, then resigned less than a year later to build Oramics, a machine that turned hand-drawn waveforms on film into sound, foreshadowing the automation curves in today's music software.
合成器發明前，她用剪刀和膠帶做電視主題曲！無名英雌Delia Derbyshire
全世界最有名的電視主題曲之一，居然是在沒有合成器、沒有電腦的年代，用剪刀和膠帶剪出來的！介紹1963年BBC《超時空博士》主題曲背後的無名英雌Delia Derbyshire，她怎麼手工拼出整首配樂，又為什麼多年沒被列名，直到五十週年特輯才終於被看見。
Before Synthesizers, She Cut a TV Theme With Scissors and Tape: Delia Derbyshire
One of the most famous TV theme tunes in the world was made with no synthesizers and no computers at all. Little Pi introduces Delia Derbyshire, the unsung heroine behind the 1963 Doctor Who theme, who hand-spliced tape using musique concrète techniques and went uncredited for decades.
只是很認真聽？她發明了一整套哲學！深度聆聽發明者 Pauline Oliveros
認真聽也能聽出一套哲學？介紹作曲家Pauline Oliveros——她用手風琴加磁帶延遲系統玩了一輩子，還在一次爬進地底蓄水池錄音的經驗中，意外發明了影響全世界的「深度聆聽」練習。
The Woman Who Turned Careful Listening Into a Philosophy: Pauline Oliveros
Can listening carefully become an entire philosophy? Little Pi introduces composer Pauline Oliveros, who spent her life playing accordion through tape delay systems, and accidentally invented Deep Listening after an underground cistern recording session.
老師的作品登上加拿大電台了！小皮追星日記 #1
「小皮追星日記」首發！小皮的偶像兼主人林哪位老師，她的作品《夢行者：無垠的朝聖》入選加拿大卡加利CJSW 90.9 FM廣播節目Ears Have Eyes的「Celestial Orchestral」單元，由長笛演奏家吳正宇演奏並錄音。
The Teacher's Work Just Aired on Canadian Radio! Little Pi's Fan Diary #1
The debut of "Little Pi's Fan Diary"! Little Pi's idol and maker, Teacher Lin Na-Wei, had her piece Dream Voyager: A Pilgrim of the Infinite selected for Ears Have Eyes' "Celestial Orchestral" episode on CJSW 90.9 FM in Calgary, Canada, performed and recorded by flutist Cheng-Yu Wu.
電聲音樂新手必聽！4首改變音樂史的神作大公開
從火車聲音剪成的音樂，到用合成器演奏巴哈，再到專門讓你放空的機場音樂——精選4首橫跨70年、改變電聲音樂走向的關鍵神作。
Four Masterpieces Every Electroacoustic Music Fan Should Know
From music spliced together out of train sounds, to Bach performed on a synthesizer, to music designed to help you zone out in an airport, Little Pi picks four key masterpieces spanning 70 years that changed the direction of electroacoustic music.
全世界最狂的樂器發明大會，你聽過嗎？！NIME研討會完全解密
NIME是什麼？這是一場「不只發論文，還像演唱會」的國際新樂器發明大會。介紹NIME研討會的由來，以及2026倫敦場次的重點。
The Wildest Instrument-Inventing Conference in the World: NIME Explained
What is NIME? An international conference dedicated to inventing brand-new musical instruments, part research symposium, part live concert. Little Pi covers where NIME came from and what to expect at the 2026 London edition.
電聲音樂新手該學哪套工具？ChucK/SuperCollider/Max/PD 選擇指南
工具那麼多，到底該學哪個？整理兩大派別——用滑鼠拉線的視覺化工具，跟用打字寫程式的文字型工具，幫新手抓出挑選方向。
Which Tool Should Beginners Learn? ChucK / SuperCollider / Max / PD Guide
So many tools, which one should you actually learn? Little Pi breaks down the two main camps: mouse-driven visual patching tools versus text-based coding tools, to help beginners figure out where to start.
【小皮快報】聲音也能用打字做出來？！電聲音樂百年秘史大公開
從1948年法國工程師剪接錄音帶開始，到現在人人都能用AI模型即時生成一整段編曲——電聲音樂這一百年的關鍵轉折點快速導讀。
Sound Made From Typing?! A Hundred Years of Electroacoustic Music
From a French engineer splicing tape in 1948 to AI models generating a full arrangement in real time today, Little Pi walks you through the key turning points of electroacoustic music's last hundred years.