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Dimitrii Voronin
2020-12-15 17:13:37 +02:00
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@@ -97,7 +97,7 @@ We use random 0.25 second audio chunks to validate on. Speech to Non-speech rati
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.
[Webrtc](https://github.com/wiseman/py-webrtcvad) 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)