autoregressive neural vocoder
C24489
concept
An autoregressive neural vocoder is a generative model that synthesizes high-quality audio waveforms sample-by-sample by predicting each new sample conditioned on previously generated samples and acoustic features.
All labels observed (3)
| Label | Occurrences |
|---|---|
| autoregressive neural network | 1 |
| autoregressive neural vocoder canonical | 1 |
| neural audio synthesis model | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: autoregressive neural vocoder
Generated description
An autoregressive neural vocoder is a generative model that synthesizes high-quality audio waveforms sample-by-sample by predicting each new sample conditioned on previously generated samples and acoustic features.
Instances (3)
| Instance | Via concept surface |
|---|---|
| WaveRNN | — |
|
Aaron van den Oord
surface form:
WaveNet
|
autoregressive neural network |
| ClariNet | neural audio synthesis model |