Atul-Anand-Jha / Speaker-Identification-Python
Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library
☆207Updated 4 years ago
Alternatives and similar repositories for Speaker-Identification-Python:
Users that are interested in Speaker-Identification-Python are comparing it to the libraries listed below
- Simple d-vector based Speaker Recognition (verification and identification) using Pytorch☆211Updated 4 years ago
- Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"☆365Updated 3 years ago
- It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data co…☆56Updated 5 years ago
- Automatic Speaker Recognition algorithms in Python☆95Updated 3 years ago
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)☆213Updated last year
- This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1☆111Updated 5 years ago
- Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)☆247Updated 4 years ago
- Identifying people from small audio fragments☆170Updated 4 years ago
- PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.☆582Updated 3 years ago
- A program for automatic speaker identification using deep learning techniques.☆84Updated 8 years ago
- Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"☆29Updated 6 years ago
- Speaker identification using voice MFCCs and GMM☆53Updated 4 years ago
- Speaker identification with VGGVox network☆83Updated 6 years ago
- Deep Learning & 3D Convolutional Neural Networks for Speaker Verification☆123Updated 6 years ago
- Speaker independent emotion recognition☆316Updated 9 months ago
- Deep Learning - one shot learning for speaker recognition using Filter Banks☆165Updated 9 months ago
- ⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's vo…☆38Updated 5 years ago
- Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should stat…☆65Updated 4 years ago
- Voice Activity Detection based on Deep Learning & TensorFlow☆358Updated 2 years ago
- speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition☆480Updated 3 years ago
- Implementation of state of the art d-vector approach for speaker verification☆127Updated 7 years ago
- VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets☆386Updated 6 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆127Updated 4 years ago
- Machine Learning Approach to built a robust speaker recognition model using MFCC features and GMM universal background model.☆15Updated 4 years ago
- Utterance-level Aggregation For Speaker Recognition In The Wild☆367Updated 2 years ago
- Speaker Recognition System using MFCC and GMM.☆24Updated 6 years ago
- Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"☆101Updated 6 years ago
- speech emotion recognition using a convolutional recurrent networks based on IEMOCAP☆392Updated 5 years ago
- ☆84Updated 4 years ago
- Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196☆313Updated 4 years ago