msalhab96 / RNN-TransducerLinks
PyTorch implementation of Sequence Transduction with Recurrent Neural Networks (RNN-T) speech recognition paper
☆12Updated 3 years ago
Alternatives and similar repositories for RNN-Transducer
Users that are interested in RNN-Transducer are comparing it to the libraries listed below
Sorting:
- Example code for a neural transducer model.☆61Updated last year
- ☆30Updated 2 years ago
- Implementation of Hybrid CTC/Attention Architecture for End-to-End Speech Recognition in pure python and PyTorch☆25Updated 10 months ago
- This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 20…☆48Updated 5 months ago
- PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASS…☆104Updated 3 years ago
- Script to perform statistical significance test between ASR hypotheses.☆22Updated 7 years ago
- Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding☆75Updated 3 years ago
- A torch implementation of a recursion which turns out to be useful for RNN-T.☆141Updated last year
- This Repository surveys the paper focusing on Prompting and Adapters for Speech Processing.☆108Updated last year
- Implementation of the paper "Confidence estimation for attention based sequence to sequence models for speech recognition"☆16Updated 4 years ago
- This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-cl…☆78Updated 2 years ago
- Implementaion RNN tranceducer☆22Updated 5 years ago
- Phonetically-Oriented Word Error Rate☆35Updated 6 years ago
- Listen Attend and Spell (LAS) implement in pytorch☆60Updated 6 years ago
- Repository containing experimentation platform on how to train, infer on wav2vec2 models.☆87Updated 2 years ago
- This repository describes our reproducible framework for assessing self-supervised representation learning from speech☆51Updated 3 years ago
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition☆80Updated 4 years ago
- Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models.☆15Updated 4 years ago
- Rescoring methods for end-to-end Automatic Speech Recognition☆27Updated 4 years ago
- Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.☆107Updated 2 years ago
- Word Error Rate Estimation☆13Updated 4 years ago
- ☆43Updated 2 years ago
- A PyTorch implementation of End-to-End Neural Diarization☆109Updated last year
- ☆68Updated 3 years ago
- End-to-end MOdeling of ASR (Automatic Speech Recognition)☆33Updated 2 years ago
- Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition☆12Updated 9 months ago
- Clustering-based methods for overlapping diarization☆81Updated last year
- Multilingual and code-switching ASR challenges for low resource Indian languages.☆20Updated 3 years ago
- Pypi installable TDNN and TDNN-F layers for PyTorch based acoustic model training☆39Updated 4 years ago
- Dynamic Chunk Streaming and Offline Conformer based on athena-team/Athena.☆44Updated 2 years ago