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Search results for neural network speaker recognition

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speaker-recognition x

10 search results found

NeMo: a toolkit for conversational AI

Sincnet ⭐ 764

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

3d Convolutional Speaker Recognition ⭐ 634

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Keras Sincnet ⭐ 49

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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

Factorized Tdnn ⭐ 38

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Speakerrecognitionfromscratch ⭐ 38

Final project for the Speaker Recognition course on Udemy, 机器之心, 深蓝学院 and 语音之家

Tf Kaldi Speaker ⭐ 31

Neural speaker recognition/verification system based on Kaldi and Tensorflow

Ai Engine ⭐ 25

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

Speakeridentificationneuralnetworks ⭐ 18

⇨ 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 highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network base

Speaker Recognition 3d Cnn ⭐ 17

Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"

Nn Similarity Diarization ⭐ 16

Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")

Dae_speakerid ⭐ 10

Denoising autoencoders for speaker identification on MCE 2018 challenge

You Only Speak Once ⭐ 9

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

Speaker Identification ⭐ 7

Speaker Identification using Neural Net.

Speaker Recognition ⭐ 5

Identifying which celebrity is speaking through deep learning

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