zhangwq740

VAD

Voice Activity Detection

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

voice-activ-detect-deepnet

ASR: Light deep net for real-time voice activity detection

VAD-LTSD

Efficient voice activity detection algorithm using long-term speech information

SpeechAlgorithms

You can find the speech algorithms you want here

VAD-python

Voice Activity Detector in Python

silero-vad

Silero VAD: pre-trained enterprise-grade Voice Activity Detector, Language Classifier and Spoken Number Detector

mica-speech-activity-detection

Robust Speech Activity Detection (SAD) in movie audio

rVAD

Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

SAD

speech activity detection using GMM and DNN

silero-vad

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

VAD

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Speech-Augmentation-and-Endpoint-Detection

This repository is developed in MATLAB. Speech Augmentation is based on Adaptive Filtering while Endpoint Detection is based on Voice Activity Detection(VAD)

Speech_Enhancement_DNN_NMF

Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF

rVADfast

This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

End-to-End-VAD

an Audio-Visual Voice Activity Detection using Deep Learning

VAD_Python

实现对语音进行端点检测，并去除语音中静音段，可以作为语音信号处理的一个预处理

VAD_campare

几种VAD算法的测评

Audio-Analysis-VAD

Different VAD algorithms using Speech features

VAD

Repository contains voice activity detection algorithms and datasets

VAD

The Endpoint detection algorithm based on short-term energy and short-term zero-crossing rate.

voxseg

A python library for voice activity detection (VAD) for speech/non-speech segmentation.

Classification-of-Endangered-Species-using-Sound-Recognition

The main goal of this project was to build an Artificial Neural Network model with limited amount of sound data of various endangered animal species. The model can be further improved and can be used to located certain animal species in the wild.

audio-classification

:musical_score: Environmental sound classification using Deep Learning with extracted features

RecordRTC

RecordRTC is WebRTC JavaScript library for audio/video as well as screen activity recording. It supports Chrome, Firefox, Opera, Android, and Microsoft Edge. Platforms: Linux, Mac and Windows.

audioset_tagging_cnn

pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

environmental-sound-classification

Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.

SER-ESC-50

pytorch - DSP - audio_classification

Dcase2020_Task5

Dcase2020_Task5