#Speaker-recognition
Showing 16 of 16 repositories tagged #speaker-recognition, ranked by stars
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A PyTorch-based Speech Toolkit
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
SincNet is a neural architecture for efficiently processing raw audio samples.
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Deep Learning - one shot learning for speaker recognition using Filter Banks
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
Final project for the Speaker Recognition course on Udemy, 机器之心, 深蓝学院 and 语音之家
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob
Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")
Speaker Recognition using Neural Network & Linear Regression
Neural speaker recognition/verification system based on Kaldi and Tensorflow
This is my Masters thesis project titled "Speaker Detection and Conversation Analysis on Mobile Devices".