Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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Updated
Jun 6, 2024 - Jupyter Notebook
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.
Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library
Identifying people from small audio fragments
Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
Deep Learning - one shot learning for speaker recognition using Filter Banks
A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.
This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)
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.
Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"
⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…
Kaldi based speaker verification
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
mirror of VoxCeleb dataset - a large-scale speaker identification dataset
Neural speaker recognition/verification system based on Kaldi and Tensorflow
Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'
Pytorch implementation of Generalized End-to-End Loss for speaker verification
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