nobody132/masr
A Mandarin Chinese speech recognition system using gated convolutional neural networks trained on the AISHELL-1 dataset.
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The project implements an end-to-end deep learning model for Chinese Mandarin speech recognition based on gated convolutional networks similar to Facebook’s Wav2letter architecture. It uses Gated Linear Units (GLU) as activation functions for faster convergence. The model is trained on the AISHELL-1 dataset containing 150 hours of recordings covering over 4000 Chinese characters. Evaluation uses Character Error Rate (CER) as the metric, with the validation set reaching approximately 11% CER.
Frequently asked
- What is nobody132/masr?
- A Mandarin Chinese speech recognition system using gated convolutional neural networks trained on the AISHELL-1 dataset.
- Is masr open source?
- Yes — nobody132/masr is an open-source project tracked on heatdrop.
- What language is masr written in?
- nobody132/masr is primarily written in Python.
- How popular is masr?
- nobody132/masr has 2k stars on GitHub.
- Where can I find masr?
- nobody132/masr is on GitHub at https://github.com/nobody132/masr.