Automagically synchronize subtitles with video.
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Updated
May 9, 2022 - Python
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Automagically synchronize subtitles with video.
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
An audio/acoustic activity detection and audio segmentation tool
Voice Activity Detection based on Deep Learning & TensorFlow
A statistical model-based Voice Activity Detection
Python bindings of WebRTC Audio Processing
Enumerate user mode shared memory mappings on Windows.
On-device voice activity detection (VAD) powered by deep learning.
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!
This VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.
Voice Activity Detection LSTM-RNN learning model
A python library for voice activity detection (VAD) for speech/non-speech segmentation.
PyTorch implementation of automatic speech recognition models.
Spokestack: give your iOS app a voice interface!
Plotter for NEXRAD VWP retrievals.
A packaged convolutional voice activity detector for noisy environments.
A simple Python wrapper to simplify working with WebRTC VAD and its rougher analogue based on RMS and ZCR (useful for processing audio recordings before using them with neural networks).
VAD + resampling | High resolution spectrogram
2018 Lenovo AI Lab Summer Intern
Voice activity detection (VAD) library for speech-end detection, based on WebRTC's VAD engine
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