SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech

Shreyas Seshadri*, Okko Räsänen

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

62 Lataukset (Pure)

Abstrakti

Automatic syllable count estimation (SCE) is used in a variety of applications ranging from speaking rate estimation to detecting social activity from wearable microphones or developmental research concerned with quantifying speech heard by language-learning children in different environments. The majority of previously utilized SCE methods have relied on heuristic digital signal processing (DSP) methods, and only a small number of bi-directional long short-term memory (BLSTM) approaches have made use of modern machine learning approaches in the SCE task. This letter presents a novel end-to-end method called SylNet for automatic syllable counting from speech, built on the basis of a recent developments in neural network architectures. We describe how the entire model can be optimized directly to minimize SCE error on the training data without annotations aligned at the syllable level, and how it can be adapted to new languages using limited speech data with known syllable counts. Experiments on several different languages reveal that SylNet generalizes to languages beyond its training data and further improves with adaptation. It also outperforms several previously proposed methods for syllabification, including end-to-end BLSTMs.

AlkuperäiskieliEnglanti
Sivut1359-1363
Sivumäärä5
JulkaisuIEEE Signal Processing Letters
Vuosikerta26
Numero9
DOI - pysyväislinkit
TilaJulkaistu - syyskuuta 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Projektit

  • 2 Päättynyt

Ihmisen ja koneen kielenoppimisen kontekstisidonnainen laskennallinen perusta

Räsänen, O.

31/12/201731/12/2017

Projekti: Academy of Finland: Other research funding

ACLEW: Lasten kielikokemuksien kartoitus ja analyysi koko maailman mittakaavassa

Räsänen, O. & Seshadri, S.

01/06/201725/09/2020

Projekti: Academy of Finland: Other research funding

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