speaker-identification

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

SincNet is a neural architecture for efficiently processing raw audio samples.

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

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.

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library

Simple d-vector based Speaker Recognition (verification and identification) using Pytorch

Identifying people from small audio fragments

A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.

Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

Deep Learning - one shot learning for speaker recognition using Filter Banks

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)

Pytorch implementation of Generalized End-to-End Loss for speaker verification

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

mirror of VoxCeleb dataset - a large-scale speaker identification dataset

Kaldi based speaker verification

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

Voxceleb1 i-vector based speaker recognition system