githubharald / CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
☆817Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for CTCDecoder
- Connectionist Temporal Classification (CTC) decoder with dictionary and language model.☆557Updated 9 months ago
- PyTorch CTC Decoder bindings☆829Updated 7 months ago
- Code for prefix beam search tutorial by @labodk☆184Updated 3 years ago
- Pytorch Bindings for warp-ctc☆757Updated last year
- End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)☆312Updated 6 years ago
- A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.☆769Updated last year
- End-to-end ASR/LM implementation with PyTorch☆595Updated 3 years ago
- A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain☆641Updated 2 years ago
- This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pyt…☆1,188Updated 3 years ago
- A fast parallel implementation of RNN Transducer.☆307Updated last year
- PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.☆578Updated 2 years ago
- CTC end -to-end ASR for timit and 863 corpus.☆218Updated 4 years ago
- CTC + Tensorflow Example for ASR☆312Updated 6 years ago
- Speech Recognition using DeepSpeech2.☆2,104Updated last year
- A Python wrapper for Kaldi☆999Updated 3 months ago
- A Keras CTC implementation of Baidu's DeepSpeech for model experimentation☆242Updated 6 years ago
- End-to-End Automatic Speech Recognition on PyTorch☆294Updated 2 years ago
- Python functions for reading kaldi data formats. Useful for rapid prototyping with python.☆376Updated last year
- A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition☆231Updated 4 years ago
- A PyTorch Implementation of End-to-End Models for Speech-to-Text☆754Updated last year
- Utterance-level Aggregation For Speaker Recognition In The Wild☆365Updated last year
- A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.☆200Updated 5 years ago
- End-to-end speech recognition using RNN Transducers in Tensorflow 2.0☆242Updated 3 years ago
- Project for Connectionist Temporal Classification with Maximum Entropy Regularization.☆141Updated 4 years ago
- An End-to-End Architecture for Keyword Spotting and Voice Activity Detection☆373Updated last year
- 🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition☆490Updated 3 years ago
- This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )☆532Updated 2 years ago
- A No-Recurrence Sequence-to-Sequence Model for Speech Recognition☆373Updated 2 years ago
- Tensorflow-based CNN+LSTM trained with CTC-loss for OCR☆499Updated 3 years ago
- A fully convolution-network for speech-to-text, built on pytorch.☆126Updated 4 years ago