High-frame-rate feature extraction at 200-400 fps improves end-to-end ASR word error rates on WSJ and CHiME-5, with relative reductions up to 24.1% when combined with speed perturbation.
Experimental results on the WSJ and CHiME-5 corpora showed that improved ASR performance was achieved when using features extraction at a frame rate higher than 100 frames/second
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End-to-End Speech Recognition with High-Frame-Rate Features Extraction
High-frame-rate feature extraction at 200-400 fps improves end-to-end ASR word error rates on WSJ and CHiME-5, with relative reductions up to 24.1% when combined with speed perturbation.