Skip to content

Note references to torchaudio.info #4087

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 5, 2025
Merged

Note references to torchaudio.info #4087

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 5 additions & 1 deletion examples/dnn_beamformer/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,11 @@

This directory contains sample implementations of training and evaluation pipelines for an DNN Beamforming model.

The `DNNBeamformer` model composes the following componenst:
> [!NOTE]
> The code uses the `torchaudio.info` function which was removed from the library in version 2.9. As such, this code will
> not run as written without modification. It is preserved for reference purposes only.
The `DNNBeamformer` model composes the following components:

+ [`torchaudio.transforms.Spectrogram`](https://pytorch.org/audio/stable/generated/torchaudio.transforms.Spectrogram.html#spectrogram) that applies Short-time Fourier Transform (STFT) to the waveform.
+ ConvTasNet without encoder/decoder that predicts T-F masks for speech and noise, respectively.
Expand Down
4 changes: 4 additions & 0 deletions examples/hubert/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,10 @@

This directory contains sample implementations of pre-training pipeline for [HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units](https://arxiv.org/abs/2106.07447).

> [!NOTE]
> The code uses the `torchaudio.info` function which was removed from the library in version 2.9. As such, this code will
> not run as written without modification. It is preserved for reference purposes only.

## Pre-training Usage

The Base architecture of HuBERT model requires two iterations of pre-training.
Expand Down