June 30, 2022, 1:10 a.m. | Yael Segal, Kasia Hitczenko, Matthew Goldrick, Adam Buchwald, Angela Roberts, Joseph Keshet

cs.LG updates on arXiv.org arxiv.org

Diadochokinetic speech tasks (DDK), in which participants repeatedly produce
syllables, are commonly used as part of the assessment of speech motor
impairments. These studies rely on manual analyses that are time-intensive,
subjective, and provide only a coarse-grained picture of speech. This paper
presents two deep neural network models that automatically segment consonants
and vowels from unannotated, untranscribed speech. Both models work on the raw
waveform and use convolutional layers for feature extraction. The first model
is based on an LSTM …

analysis arxiv speech speech analysis

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