voice activity detection

Introduction

The pyannote/voice-activity-detection model is a tool for detecting voice activity within audio files. It leverages the pyannote.audio library, which provides neural building blocks for speaker diarization and related tasks. This model is beneficial for applications that require automatic speech recognition and speaker segmentation.

Architecture

The model utilizes the pyannote.audio 2.1 framework to implement voice activity detection. It processes audio inputs and identifies segments containing speech, which is useful for tasks like speaker diarization where distinguishing between speech and non-speech is crucial.

Training

The model has been trained on various datasets, including AMI, DIHARD, and VoxConverse. These datasets are commonly used for tasks related to speech processing and speaker segmentation. The training involves optimizing the model to accurately distinguish between speech and non-speech segments in audio data.

Guide: Running Locally

1. Installation: First, ensure that you have installed pyannote.audio. You can find installation instructions on GitHub.
2. Access Conditions: Visit hf.co/pyannote/segmentation to accept user conditions.
3. Create Access Token: Generate an access token by visiting hf.co/settings/tokens.
4. Instantiate Pipeline:

   from pyannote.audio import Pipeline
   pipeline = Pipeline.from_pretrained("pyannote/voice-activity-detection",
                                       use_auth_token="ACCESS_TOKEN_GOES_HERE")
   output = pipeline("audio.wav")
   
   for speech in output.get_timeline().support():
       # active speech between speech.start and speech.end
       ...
   

5. Cloud GPUs: For better performance, consider using cloud-based GPUs from providers like AWS, Google Cloud, or Azure to run the model, especially for large datasets or real-time processing.

License

The pyannote/voice-activity-detection model is released under the MIT License, which allows for free use, modification, and distribution, provided that the original terms and conditions are included with any copies or substantial portions of the software.