Interactive lesson~18 minIntermediate
Audio & Speech Models
Audio models turn waveforms into representations of speech, music, sound events, and speaker intent. Time and frequency are both the canvas.
WhisperWaveNetTTS
Mental model
Sound is a moving pattern of pressure, but models often read it as time-frequency images.
Speech recognition, voice agents, music generation, dubbing, and accessibility depend on robust audio understanding.
Transcription
balanced63% modeled signal
Responsiveness
balanced54% modeled signal
Voice quality
balanced54% modeled signal
Concept pipeline
Build the idea in four moves
Interactive lab
Tune a voice model for noisy real-time calls.
Waveform
Capture raw amplitude over time.
Focus lens
The part that usually clicks late
Spectrograms
Frequency over time exposes speech and music structure.
Transcription
63
Responsiveness
54
Voice quality
54
Knowledge check
Why are spectrograms useful?
Next horizon
Where this topic is headed
Duplex voice agents
Neural codecs
Audio-language models