pytorch / pytorch/audio

support batching for kaldi compliant feature extraction functions

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enhancement Kaldi
Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

🚀 Feature

batch dimension should be supported for kaldi complaint functions, for example, in torchaudio.compliance.kaldi.fbank

Motivation

Computation on GPU and use batches is essential

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start at the torchaudio.compliance.kaldi.fbank entry point and inspect how Kaldi-compliant feature extraction currently handles its input dimensions. Review related Kaldi-compliant functions for consistency, then verify that batched inputs work correctly on GPU and produce the expected batched features.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
audio-video-rtc
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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