Automatic speech recognition

Datasets

Name License Size Date Metadata
King Saud University Arabic Speech Database Only research, no commercial 590h February 17, 2014 Sampling rate: 48K, microphone speech, 269 speakers

Papers

Title Summary Date Publisher
An enhanced automatic speech recognition system for Arabic Develop an ASR system for MSA by using Kaldi toolkit, achieving WER: 12 2017 Loria

Frameworks

Name Publisher Techs Comments
OpenSeq2Seq Nvidia Python End-to-end python pipeline, English pretrained models available
ESPnet Researchers Python,cpp, Kaldi Features written on Disk. Joint CTC-Attention architecture

More resources coming soon stay tuned ! 🤩 You are welcome to contribute to this project ! 🙏