Alternatives and similar repositories for End-to-End-VAD

Users that are interested in End-to-End-VAD are comparing it to the libraries listed below

• Sanyuan-Chen / CSS_with_Conformer
  Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.
  ☆119Updated 2 years ago
• gemengtju / SpEx_Plus
  SpEx+(tied) source code
  ☆88Updated 2 years ago
• yuyq96 / D-TDNN
  PyTorch implementation of Densely Connected Time Delay Neural Network
  ☆89Updated 2 years ago
• staplesinLA / denoising_DIHARD18
  ☆60Updated 5 years ago
• Ephrem-ETH / E2E-KWS
  End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM
  ☆42Updated 2 years ago
• yufan-aslp / AliMeeting
  The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to pro…
  ☆129Updated 3 years ago
• funcwj / ge2e-speaker-verification
  Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"
  ☆103Updated 6 years ago
• funcwj / voice-filter
  A unofficial Pytorch implementation of Google's VoiceFilter
  ☆102Updated 2 years ago
• xuchenglin28 / speaker_extraction
  target speaker extraction and verification for multi-talker speech
  ☆185Updated 4 years ago
• jingyonghou / KWS_Max-pooling_RHE
  Mining effective negative training samples for keyword spotting (PyTorch)
  ☆62Updated 5 years ago
• R1ckShi / AESRC2020
  [ICASSP2021] Data preperation scripts, training pipeline and baseline experiment results for the Interspeech 2020 Accented English Speech…
  ☆56Updated 5 years ago
• KrishnaDN / Attentive-Statistics-Pooling-for-Deep-Speaker-Embedding
  Implementation of the paper "Attentive Statistics Pooling for Deep Speaker Embedding" in Pytorch
  ☆45Updated 5 years ago
• echocatzh / torch-mfcc
  A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
  ☆79Updated 3 years ago
• funcwj / aps
  A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
  ☆145Updated 2 years ago
• yuguochencuc / DB-AIAT
  The implementation of "Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement"
  ☆122Updated 3 years ago
• danFromTelAviv / key_words_spotting
  implementation of "EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING"
  ☆36Updated 5 years ago
• SungFeng-Huang / SSL-pretraining-separation
  Official repository of our paper: https://arxiv.org/abs/2010.15366
  ☆63Updated 4 years ago
• iiscleap / E2E-NPLDA
  End-To-End Speaker Verification based on X-vector and Neural PLDA - A PyTorch implementation
  ☆23Updated 3 years ago
• Windstudent / Complex-MTASSNet
  Multi-Task Audio Source Separation, Two-Stage Model, Complex Domain.
  ☆93Updated 2 years ago
• funcwj / uPIT-for-speech-separation
  Speech separation with utterance-level PIT experiments
  ☆105Updated 7 years ago
• seorim0 / DCCRN-with-various-loss-functions
  DCCRN with various loss functions
  ☆102Updated 3 years ago
• hbredin / DomainAdversarialVoiceActivityDetection
  Code for reproducing experiments in "Domain-Adversarial Voice Activity Detection"
  ☆23Updated 5 years ago
• MihawkHu / DCASE2020_task1
  Code for DCASE 2020 task 1a and task 1b.
  ☆87Updated 3 years ago
• mycrazycracy / speaker-embedding-with-phonetic-information
  The code for the Interspeech paper "Speaker Embedding Extraction with Phonetic Information"
  ☆45Updated 6 years ago
• fgnt / pb_chime5
  Speech enhancement system for the CHiME-5 dinner party scenario
  ☆109Updated 8 months ago
• turpaultn / DCASE2019_task4
  Baseline of dcase 2019 task 4
  ☆59Updated 3 years ago
• linan2 / Voice-activity-detection-VAD-paper-and-code
  Voice activity detection (VAD) paper and code（From 198*~ ）and its classification.
  ☆113Updated 4 months ago
• BUTSpeechFIT / MultiSV
  MultiSV: scripts for data preparation
  ☆27Updated 9 months ago
• fgnt / sms_wsj
  SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition
  ☆122Updated last year
• aispeech-lab / advr-avss
  Pytorch implementation of our paper: Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training.
  ☆18Updated 3 years ago