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Evaluating computational models of infant phonetic learning across
  languages

Evaluating computational models of infant phonetic learning across languages

6 August 2020
Yevgen Matusevych
Thomas Schatz
Herman Kamper
Naomi H Feldman
Sharon Goldwater
ArXivPDFHTML

Papers citing "Evaluating computational models of infant phonetic learning across languages"

8 / 8 papers shown
Title
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic
  Word Embeddings
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings
Badr M. Abdullah
Bernd Möbius
Dietrich Klakow
13
3
0
14 Sep 2022
Do self-supervised speech models develop human-like perception biases?
Do self-supervised speech models develop human-like perception biases?
Juliette Millet
Ewan Dunbar
SSL
24
20
0
31 May 2022
How Familiar Does That Sound? Cross-Lingual Representational Similarity
  Analysis of Acoustic Word Embeddings
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings
Badr M. Abdullah
Iuliia Zaitova
T. Avgustinova
Bernd Möbius
Dietrich Klakow
37
10
0
21 Sep 2021
Do Acoustic Word Embeddings Capture Phonological Similarity? An
  Empirical Study
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study
Badr M. Abdullah
Marius Mosbach
Iuliia Zaitova
Bernd Möbius
Dietrich Klakow
17
14
0
16 Jun 2021
A phonetic model of non-native spoken word processing
A phonetic model of non-native spoken word processing
Yevgen Matusevych
Herman Kamper
Thomas Schatz
Naomi H Feldman
Sharon Goldwater
11
7
0
27 Jan 2021
The effectiveness of unsupervised subword modeling with autoregressive
  and cross-lingual phone-aware networks
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks
Siyuan Feng
O. Scharenborg
SSL
19
3
0
17 Dec 2020
A comparison of self-supervised speech representations as input features
  for unsupervised acoustic word embeddings
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings
Lisa van Staden
Herman Kamper
SSL
31
16
0
14 Dec 2020
Analyzing autoencoder-based acoustic word embeddings
Analyzing autoencoder-based acoustic word embeddings
Yevgen Matusevych
Herman Kamper
Sharon Goldwater
19
12
0
03 Apr 2020
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