KarelVesely84 / kaldi-io-for-python
Python functions for reading kaldi data formats. Useful for rapid prototyping with python.
☆375Updated last year
Alternatives and similar repositories for kaldi-io-for-python:
Users that are interested in kaldi-io-for-python are comparing it to the libraries listed below
- A pure python module for reading and writing kaldi ark files☆252Updated last year
- PyTorch implementation of LF-MMI for End-to-end ASR☆219Updated 4 years ago
- A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.☆200Updated 6 years ago
- End-to-end ASR/LM implementation with PyTorch☆596Updated 3 years ago
- Yet another speech toolkit based on Kaldi and PyTorch☆173Updated 4 years ago
- ☆273Updated 4 years ago
- PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.☆579Updated 3 years ago
- Towards hot directions in industrial end to end speech recognition☆326Updated 3 years ago
- ASR with PyTorch☆140Updated 5 years ago
- A fast parallel implementation of RNN Transducer.☆308Updated last year
- A CRF-based ASR Toolkit☆328Updated 5 months ago
- Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196☆308Updated 4 years ago
- Tensorflow implementation of x-vector topology on top of Kaldi recipe☆119Updated 5 years ago
- CTC end -to-end ASR for timit and 863 corpus.☆217Updated 5 years ago
- ☆106Updated 3 years ago
- MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks☆137Updated 3 years ago
- A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition☆232Updated 4 years ago
- experiments with RETURNN☆156Updated 2 weeks ago
- Time delay neural network (TDNN) implementation in Pytorch using unfold method☆199Updated 5 years ago
- Neural speaker recognition/verification system based on Kaldi and Tensorflow☆32Updated 4 years ago
- Moved to https://github.com/k2-fsa/icefall☆144Updated 2 years ago
- End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)☆315Updated 7 years ago
- A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems☆199Updated 2 weeks ago
- INTERSPEECH 2019 Tutorial Materials☆193Updated 3 years ago
- A statistical model-based Voice Activity Detection☆190Updated 6 years ago
- An End-to-End Architecture for Keyword Spotting and Voice Activity Detection☆375Updated last year
- A No-Recurrence Sequence-to-Sequence Model for Speech Recognition☆375Updated 2 years ago
- Speaker embedding(verification and recognition) using Pytorch☆366Updated 4 years ago
- End-to-End Neural Diarization☆390Updated 3 years ago
- End-to-end speech recognition using RNN Transducers in Tensorflow 2.0☆243Updated 3 years ago