pytorch / pytorch/audio

About HUBERT_ASR_BASE pipeline

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Description

🚀 The feature

Hello!

I want to use the finetuned HuBERT_base model. However, in torchaudio.pipelines, there has only HUBERT_ASR_LARGE and HUBERT_ASR_XLARGE. What should I do to get a HUBERT_ASR_BASE model?

Motivation, pitch

the finetuned HuBERT_base model

Alternatives

No response

Additional context

No response

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 by reviewing the torchaudio.pipelines entry point and the existing HUBERT_ASR_LARGE and HUBERT_ASR_XLARGE definitions. Determine whether the finetuned HuBERT_base model can be represented as a HUBERT_ASR_BASE pipeline, then verify that the exposed pipeline loads and supports the expected speech-recognition workflow.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
audio-video-rtc, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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