wxlsummer

wxlsummer's Stars

• tmux/tmux

  tmux source code

  Language:C34.9k4253.4k2.1k

• espnet/espnet

  End-to-End Speech Processing Toolkit

  Language:Python8.4k1822.4k2.2k

• kohpangwei/influence-release

  Language:Jupyter Notebook7711822177

• TaoRuijie/ECAPA-TDNN

  Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

  Language:Python591482112

• Demfier/multimodal-speech-emotion-recognition

  Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

  Language:Jupyter Notebook396113484

• ASR-project/Multilingual-PR

  Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.

  Language:Python1944517

• dborrelli/chat-intents

  Clustering sentence embeddings to extract message intent

  Language:Jupyter Notebook1665524

• zszyellow/WER-in-python

  This program calculates the word error rate of hypothesis in ASR and print the aligned result.

  Language:Python1525877

• felixkreuk/UnsupSeg

  Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation (INTERSPEECH 2020)

  Language:Python1355929

• JoergFranke/phoneme_recognition

  Phoneme Recognition using RecNet

  Language:Python909630

• matthijsvk/multimodalSR

  Multimodal speech recognition using lipreading (with CNNs) and audio (using LSTMs). Sensor fusion is done with an attention network.

  Language:Jupyter Notebook668119

• tbornt/phoneme_ctc

  Bidirectional dynamic RNN + CTC for phoneme recognition

  Language:Python442412

• AntreasAntoniou/minimal-ml-template

  A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows

  Language:Python35216

• foundintranslation/Kaldi

  Kaldi Snapshot

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• AntreasAntoniou/kubejobs

  Language:Python27238

• fengxin-bupt/Application-of-Word2vec-in-Phoneme-Recognition

  Build an attention-based model for speech recogntion.Use the Word2vec model to help to train the attention model.

  Language:Python27139

• cvqluu/MTL-Speaker-Embeddings

  Code for the paper: "Leveraging speaker attribute information using multi task learning for speaker verification and diarization" presented at Interspeech 2021

  Language:Python24216

• nkrao220/accent-classification

  Accent Classification in Speech

  Language:Python24115

• qinxiaoyi/Cross-Age_Speaker_Verification

  22242

• agrija9/Avalinguo-Dataset-Speaker-Fluency-Level-Classification-Paper-

  Code for paper "Speaker Fluency Level Classification using Machine Learning Techniques."

  Language:Jupyter Notebook17116

• chorowski-lab/CPC_audio

  An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

  Language:Jupyter Notebook11109

• wiebket/bt4vt

  Bias Tests for Voice Technologies (bt4vt)

  Language:Python111411

• LIAvignon/BA-LR

  Explainable Speaker Recognition system

  Language:HTML6101

• huashen218/Voxceleb-Fairness

  ICASSP 2022 paper - improve fairness of speaker verification models

  Language:Python5201

• yhifny/keras-kaldi

  Flexible deep neural acoustic modeling using the Keras-Kaldi toolkit

  Language:Python5421

• bobzsj87/pykaldi

  Language:Python2200

• mirkomarras/fair-voice

  A Python toolbox for fairness analysis in speaker veriification

  Language:Jupyter Notebook2102

• a1rishav/speaker-recognizer

  Language:Jupyter Notebook1101

• mexca/mexca-sd-experiment

  A repository for comparing potential speaker diarization tools to be used in the MEXCA pipeline.

  Language:Jupyter Notebook1002

• wxlsummer/tmux

  tmux source code

  Language:C1000