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arXiv · 1807.02465

Tone Recognition Using Lifters and CTC

Loren Lugosch·Vikrant Singh Tomar
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Abstract

In this paper, we present a new method for recognizing tones in continuous speech for tonal languages. The method works by converting the speech signal to a cepstrogram, extracting a sequence of cepstral features using a convolutional neural network, and predicting the underlying sequence of tones using a connectionist temporal classification (CTC) network. The performance of the proposed method is evaluated on a freely available Mandarin Chinese speech corpus, AISHELL-1, and is shown to outperform the existing techniques in the literature in terms of tone error rate (TER).

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Loren Lugosch, Vikrant Singh Tomar. 2018-07-06. Tone Recognition Using Lifters and CTC. https://arxiv.org/abs/1807.02465

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