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ssvad

Voice Activity Detector (VAD) for NIST Speaker Recognition Evaluation

supervised_ivectors

Using ASR posteriors instead of UBM posteriors to train i-vectors. Based on the idea proposed by Yun Lei et al., "A novel scheme for speaker recognition using a phonetically-aware deep neural network," ICASSP14

syn-speech

Syn.Speech is a flexible speaker independent continuous speech recognition engine for Mono and .NET framework

tcc_speaker_recognition

test_python_speaker_recognition

tf-kaldi-speaker

Neural speaker recognition/verification system based on Kaldi and Tensorflow

tongdun-camp-2018-speaker-recognition

triplet-loss-train-for-speaker-recognition

It is a complete project of voiceprint recognition or speaker recognition.Before, I upload a very classic VGG based model for speaker recognition . The model simply use softmax-loss to train super-parameters. But during testing stage,we found the model is not very reliable。for example, the model can easily distinguish man-man group, and man-woman group, but difficultly in woman-woman. So, we try another method called triplet-group to retrain our model, of course, we use triplet-loss as the loss for back propagation. The I upload our core code, and training curve for the two training stage. Why, I refer to "two training stage"? That need you to understand the triplet-group method. And very very welcome to my mailbox: [email protected]

undervoice_conv

tensorflow convolution audio emotion&speaker recognition

unified-embedding

Code and instruction on how to replicate the experiments done in paper: Unified Hypersphere Embedding for Speaker Recognition

vgg-speaker-recognition

Utterance-level Aggregation For Speaker Recognition In The Wild

vggvox

VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets

vggvoxrealtime

Thanks VGGVox Oxford Model for the Speaker Recognition model generation. We would like to port to Python for realtime running

viki

Deep Learning for Speaker and Interruption Recognition in Company Meetings

vocalseparation

Using Deep Learning for singing voice separation - Project for the course DT2119 Speech and Speaker Recognition offered by KTH in 2018

voice-gender-recognition

Train a LSTM neural networks on Vox Forge public audio data set to recognize speaker's gender

voice-identification

Project to explore Speaker and Voice Identification. To follow will be further Speech Recognition tasks.

voice-recognition

Project on speaker voice recognition. Exported from code.google.com/p/vox-dei

voice_converter_cyclegan

Voice Converter Using CycleGAN and Non-Parallel Data

voice_style_transfer

Attempts to perform voice transfer, inspired by Gatys et al.'s work in image domain. Uses two pre-trained networks (Wavenet and Speaker Recognition) for perceptual style and context losses.

voiceid

Speaker recognition/identification system in Python

voiceid-1

Speaker recognition/identification system in Python. Python3 port.

voiceprint-recognition-speaker-recognition

It is a complete project of voiceprint recognition or speaker recognition.

voiceprintreco

Voice Print Recognition

vowel-recognition

Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.

voxceleb-ivector

Voxceleb1 i-vector based speaker recognition system

wave_sex_recognition

Recognition of speaker's sex by analyzing it's voice audio sample. Usage of Fast Fourier Transform and self-designed decision algorithm measuring distance between harmonics.

who-is-this

A speaker recognition algorithm with GWO and PSO.

whospeaks

Speaker recognition using Mel Frequency Cepstral Coefficients (MFCC) and Linde-Buzo-Gray (LBG) clustering algorithm

wiss

Speaker recognition system for mobile robots