Improving speech recognition systems for the morphologically complex Malayalam language using subword tokens for language modeling
Kavya Manohar,
Jayan A R,
Rajeev Rajan
Abstract:This article presents the research work on improving speech recognition systems for the morphologically complex Malayalam language using subword tokens for language modeling. The speech recognition system is built using a deep neural network–hidden Markov model (DNN-HMM)-based automatic speech recognition (ASR). We propose a novel method, syllable-byte pair encoding (S-BPE), that combines linguistically informed syllable tokenization with the data-driven tokenization method of byte pair encoding (BPE). The pro… Show more
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