Speech Recognition
Spectrograms, CTC, RNN-T, Conformer, Whisper, streaming, diarisation and self-supervised audio.
20concepts
140flashcards
156minutes of reading
- 01 Audio Features and Spectrograms Raw audio waveforms are rarely fed directly to speech models; this concept explains how and why they are first converted into spectrogram-based representations that compress perceptual information into a learnable 2-D grid.
- 02 The ASR Problem and Pipeline Automatic speech recognition converts a raw audio waveform into a word sequence by solving an alignment problem that classical NLP never had to face.