LEAP Submission to CHiME-6 ASR Challenge}

Anirudh Sreeram; Anurenjan Purushothaman; Rohit Kumar; Sriram Ganapathy

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arXiv · 2005.11258

LEAP Submission to CHiME-6 ASR Challenge}

Anirudh Sreeram·Anurenjan Purushothaman·Rohit Kumar·Sriram Ganapathy

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Abstract

This paper reports the LEAP submission to the CHiME-6 challenge. The CHiME-6 Automatic Speech Recognition (ASR) challenge Track 1 involved the recognition of speech in noisy and reverberant acoustic conditions in home environments with multiple-party interactions. For the challenge submission, the LEAP system used extensive data augmentation and a factorized time-delay neural network (TDNN) architecture. We also explored a neural architecture that interleaved the TDNN layers with LSTM layers. The submitted system improved the Kaldi recipe by 2% in terms of relative word-error-rate improvements.

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Anirudh Sreeram, Anurenjan Purushothaman, Rohit Kumar, Sriram Ganapathy. 2020-05-22. LEAP Submission to CHiME-6 ASR Challenge}. https://arxiv.org/abs/2005.11258

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