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

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

24 June 2019
Shreyas Seshadri
Okko Räsänen
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities
Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities
Jialu Li
Marvin Lavechin
Xulin Fan
Nancy L. McElwain
Alejandrina Cristià
Paola Garcia-Perera
Mark Hasegawa-Johnson
12
0
0
22 Sep 2025
Multilingual transfer of acoustic word embeddings improves when training
  on languages related to the target zero-resource language
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
C. Jacobs
Herman Kamper
106
11
0
24 Jun 2021
Acoustic word embeddings for zero-resource languages using
  self-supervised contrastive learning and multilingual adaptation
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
C. Jacobs
Yevgen Matusevych
Herman Kamper
89
23
0
19 Mar 2021
1