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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"

2 / 2 papers shown
Title
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
71
10
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
66
21
0
19 Mar 2021
1