Noisy Speech Recognition
3 papers with code • 2 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Noisy Speech Recognition
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Most implemented papers
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages.
The PyTorch-Kaldi Speech Recognition Toolkit
Experiments, that are conducted on several datasets and tasks, show that PyTorch-Kaldi can effectively be used to develop modern state-of-the-art speech recognizers.
Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech Recognition
ms-dot-k/AVSR
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The enhanced audio features are fused with the visual features and taken to an encoder-decoder model composed of Conformer and Transformer for speech recognition.
