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Lugosch et al., 2018 - Google Patents

Tone recognition using lifters and ctc

Lugosch et al., 2018

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Document ID
8349080846563788079
Author
Lugosch L
Tomar V
Publication year
Publication venue
arXiv preprint arXiv:1807.02465

External Links

Snippet

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 …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/187Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
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    • G10L19/00Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis

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