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Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Gecko - A Tool for Effective Annotation of Human Conversations
A statistical model-based Voice Activity Detection
Efficient voice activity detection algorithm using long-term speech information
Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
iOS Voice Activity Detection (VAD). Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
End to end AWS SageMaker application for detecting the AWS Polly voice in an audio recording using Gluon and MXNet.
Spoofing voice detection : 2nd YAICON
The Poetry Pronunciation Learning App is an interactive AI-powered tool that helps users practice and improve their pronunciation of poems. It uses real-time speech recognition, voice activity detection, and fuzzy word matching to provide instant feedback on spoken verses.
End-to-end pipeline for training a custom keyword detection model with TensorFlow & TFLite expor
this is a p5js experiment that uses voice detection and cursor movement to multiply creative content in a variety of colours
TranscribeTube is a Python tool that transcribes and generates subtitles for videos from local files or YouTube links using Hugging Face models. It features an interactive Gradio web interface, allowing users to easily upload videos, select languages, and download subtitles in SRT format.
Config files for my GitHub profile.
using a simple convolution neural network to classify voices based on the existence of wake word
A database of challenging voice utterances collected by the Biometrics Vision and Computing (BVC) group.
Voice detection, wake words and voice commands on the ESP32-S3 microcontroller.