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  1. 22 Mar, 2022 1 commit
    • Hagen Wierstorf's avatar
      Fix calculation of SNR value in tutorial (#2285) · 8395fe65
      Hagen Wierstorf authored 
      Summary:
The calculation of the SNR in tha data augmentation examples seems to be wrong to me:

![image](https://user-images.githubusercontent.com/173624/159487032-c60470c6-ef8e-48a0-ad5e-a117fcb8d606.png)

If we start from the definition of the signal-to-noise ratio using the root mean square value we get:

```
SNR = 20 log10 ( rms(scale * speech) / rms(noise) )
```
this can be transformed to
```
scale = 10^(SNR/20) rms(noise) / rms(speech)
```
In the example not `rms` is used but `lambda x: x.norm(p=2)`, but as we have the same length of the speech and noise signal, we have
```
rms(noise) / rms(speech) = noise.norm(p=2) / speech.norm(p=2)
```
this would lead us to:
```
10^(SNR/20) = e^(SNR / 10)
```
which is not true.

Hence I changed `e^(SNR / 10)` to `10^(SNR/20)`.

For the proposed SNR values of 20 dB, 10 dB, 3 dB the value of the scale would change from 7.39, 2.72, 1.35 to 10.0, 3.16, 1.41.

Pull Request resolved: https://github.com/pytorch/audio/pull/2285

Reviewed By: nateanl

Differential Revision: D35047737

Pulled By: mthrok

fbshipit-source-id: ac24c8fd48ef06b4b611e35163084644330a3ef3
      8395fe65
  3. 17 Mar, 2022 1 commit
  5. 10 Mar, 2022 1 commit
  7. 08 Mar, 2022 1 commit
  9. 26 Feb, 2022 1 commit
    • moto's avatar
      Improve device streaming (#2202) · 365313ed
      moto authored 
      Summary:
This commit adds tutorial for device ASR, and update API for device streaming.

The changes for the interface are
1. Add `timeout` and `backoff` parameters to `process_packet` and `stream` methods.
2. Move `fill_buffer` method to private.

When dealing with device stream, there are situations where the device buffer is not
ready and the system returns `EAGAIN`. In such case, the previous implementation of
`process_packet` method raised an exception in Python layer , but for device ASR,
this is inefficient. A better approach is to retry within C++ layer in blocking manner.
The new `timeout` parameter serves this purpose.

Pull Request resolved: https://github.com/pytorch/audio/pull/2202

Reviewed By: nateanl

Differential Revision: D34475829

Pulled By: mthrok

fbshipit-source-id: bb6d0b125d800f87d189db40815af06fbd4cab59
      365313ed
  11. 24 Feb, 2022 1 commit
  13. 23 Feb, 2022 1 commit
  15. 17 Feb, 2022 2 commits
  17. 16 Feb, 2022 6 commits
  19. 15 Feb, 2022 1 commit
  21. 11 Feb, 2022 5 commits
  23. 10 Feb, 2022 1 commit
  25. 09 Feb, 2022 1 commit
    • hwangjeff's avatar
      Fix librosa calls (#2208) · e5d567c9
      hwangjeff authored 
      Summary:
Yesterday's release of librosa 0.9.0 made args keyword-only and changed default padding from "reflect" to "zero" for some functions. This PR adjusts callsites in our tutorials and tests accordingly.

Pull Request resolved: https://github.com/pytorch/audio/pull/2208

Reviewed By: mthrok

Differential Revision: D34099793

Pulled By: hwangjeff

fbshipit-source-id: 4e2642cdda8aae6d0a928befaf1bbb3873d229bc
      e5d567c9
  27. 04 Feb, 2022 1 commit
  29. 03 Feb, 2022 3 commits
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  35. 31 Jan, 2022 1 commit
  37. 27 Jan, 2022 2 commits
  39. 26 Jan, 2022 1 commit
  41. 22 Jan, 2022 1 commit
  43. 20 Jan, 2022 1 commit
  45. 18 Jan, 2022 1 commit
  47. 08 Jan, 2022 1 commit
    • Binh Tang's avatar
      [PyTorchLightning/pytorch-lightning] Add deprecation path for renamed training... · 7b6b2d00
      Binh Tang authored 
      [PyTorchLightning/pytorch-lightning] Add deprecation path for renamed training type plugins (#11227)

Summary:
### New commit log messages
  4eede7c30 Add deprecation path for renamed training type plugins (#11227)

Reviewed By: edward-io, daniellepintz

Differential Revision: D33409991

fbshipit-source-id: 373e48767e992d67db3c85e436648481ad16c9d0
      7b6b2d00