roman-vygon / triplet_loss_kwsLinks
Learning Efficient Representations for Keyword Spotting with Triplet Loss
☆112Updated 3 years ago
Alternatives and similar repositories for triplet_loss_kws
Users that are interested in triplet_loss_kws are comparing it to the libraries listed below
Sorting:
- Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.☆109Updated 3 years ago
- Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769☆136Updated 3 years ago
- Speaker verification using ResnetSE (EER=0.0093) and ECAPA-TDNN☆96Updated 4 years ago
- Voice Activity Detection (VAD) using deep learning.☆204Updated 6 years ago
- ☆135Updated 5 years ago
- Unofficial PyTorch implementation of "Keyword Transformer: A Self-Attention Model for Keyword Spotting", Berg et al. 2021.☆40Updated 3 years ago
- This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).☆280Updated 3 years ago
- Time delay neural network (TDNN) implementation in Pytorch using unfold method☆203Updated 6 years ago
- Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)☆100Updated 5 years ago
- The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to pro…☆131Updated 3 years ago
- ☆85Updated 2 years ago
- Few-Shot Keyword Spotting☆70Updated 4 years ago
- A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.☆79Updated 3 years ago
- Research code for the paper "Fine-tuning wav2vec2 for speaker recognition" found at https://arxiv.org/abs/2109.15053☆146Updated 3 years ago
- Pytorch version of Voice Activity Detection (VAD) based on Deep Learning (https://github.com/filippogiruzzi)☆27Updated 4 years ago
- Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised …☆138Updated 2 years ago
- A PyTorch implementation of End-to-End Neural Diarization☆109Updated 2 years ago
- [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition☆219Updated 2 years ago
- [InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei …☆209Updated 3 years ago
- PyTorch implementation of Densely Connected Time Delay Neural Network☆90Updated 2 years ago
- PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASS…☆112Updated 3 years ago
- Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch☆106Updated 5 years ago
- End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM☆43Updated 3 years ago
- Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus☆184Updated last year
- target speaker extraction and verification for multi-talker speech☆196Updated 5 years ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆61Updated 5 years ago
- Implementation of Hybrid CTC/Attention Architecture for End-to-End Speech Recognition in pure python and PyTorch☆26Updated last year
- ☆131Updated 4 years ago
- Mining effective negative training samples for keyword spotting (PyTorch)☆64Updated 5 years ago
- A statistical model-based Voice Activity Detection☆194Updated 7 years ago