Voice Activity Detection with a (small) CRDNN model trained on Libriparty This repository provides all the necessary tools to perform voice activity detection with SpeechBrain using a model pretrained on Libriparty. The pre trained system can process short and long speech recordings and outputs the segments where speech activity is detected. The output of the system looks like this: The system expects input recordings sampled at 16kHz (single channel). If your signal has a different sample rate, resample it (e.g., using torchaudio or sox) before using the interface. For a better experience, we encourage you to learn more about SpeechBrain. Results The model performance on the LibriParty test set is: Release hyperparams file Test Precision Test Recall Test F Score Model link GPUs : : : : : : : : : : : 2021 09 09 train.yaml 0.9518 0.9437 0.9477 Model 1xV100 16GB Pipeline description This system is composed of a CRDNN that outputs posteriors probabilities with a value close to one for speech frames and close to zero for non speech segments. A threshold is applied on top of the posteriors to detect candidate speech boundaries. Depending on the active options, these boundaries can be po…
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