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#speech-recognition

2 articles

01 ·Audio & Speech·FREE·11 min read Speech Recognition from Scratch — From Waveform to Text How a stream of numbers from a microphone becomes words, starting from zero: spectrogram features, the alignment problem that CTC solved, autoregressive encoder-decoder models, and Whisper — in the order history solved them. 02 ·Audio & Speech·★ MEMBER·PAPER·8 min read Paper Deep-Dive: Why Whisper Is Robust — Large-Scale Weak Supervision A reading of the Whisper paper (Radford et al., 2022) built strictly from its own text. Waveform to log-Mel spectrogram, an encoder-decoder that emits text directly, and how 680,000 hours produced robustness without fine-tuning — with the numbers the paper actually measured and the limits it admits to.