deepgeek/silero-vad
2
0
Fork 0
mirror of https://github.com/snakers4/silero-vad.git synced 2026-02-04 17:39:22 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Dimitrii Voronin
2020-12-15 17:12:15 +02:00
committed by GitHub
parent cc95d20b15
commit dd2d7ff70e
1 changed files with 7 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@@ -93,7 +93,13 @@ Speed metrics here.
### Quality Metrics
Quality metrics here.
We use random 0.25 second audio chunks to validate on. Speech to Non-speech ratio among chunks ~50/50, speech chunks are carved from real audios in four different languages (English, Russian, Spanish, German), then random random background noise is applied to some of them.
Since our models were trained on chunks of the same length, model's output is just one float number from 0 to 1 - **speech probability**. We use speech probabilities as tresholds for precision-recall curve.
Webrtc splits audio into frames, each frame has corresponding number (0 **or** 1). We use 30ms frames for webrtc predicts, so each 0.25 second chunk is splitted into 8 frames, their **mean** value is used as a treshold for plot.
![image](https://user-images.githubusercontent.com/36505480/102233150-9f476580-3ef8-11eb-87fb-ae6f1edfe10f.png)
## FAQ