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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

14 September 2022
Badr M. Abdullah
Bernd Möbius
Dietrich Klakow
ArXivPDFHTML

Papers citing "Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings"

13 / 13 papers shown
Title
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
51
11
0
21 Sep 2021
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
52
10
0
24 Jun 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
63
14
0
16 Jun 2021
Evaluating computational models of infant phonetic learning across
  languages
Evaluating computational models of infant phonetic learning across languages
Yevgen Matusevych
Thomas Schatz
Herman Kamper
Naomi H Feldman
Sharon Goldwater
49
14
0
06 Aug 2020
Evaluating the reliability of acoustic speech embeddings
Evaluating the reliability of acoustic speech embeddings
Robin Algayres
Mohamed Salah Zaiem
Benoît Sagot
Emmanuel Dupoux
67
29
0
27 Jul 2020
Analyzing autoencoder-based acoustic word embeddings
Analyzing autoencoder-based acoustic word embeddings
Yevgen Matusevych
Herman Kamper
Sharon Goldwater
52
12
0
03 Apr 2020
Truly unsupervised acoustic word embeddings using weak top-down
  constraints in encoder-decoder models
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder models
Herman Kamper
SSL
62
68
0
01 Nov 2018
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word
  Embeddings from Speech
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
Yu-An Chung
James R. Glass
3DV
71
184
0
23 Mar 2018
Unsupervised Learning of Semantic Audio Representations
Unsupervised Learning of Semantic Audio Representations
A. Jansen
Manoj Plakal
R. Pandya
D. Ellis
Shawn Hershey
Jiayang Liu
R. C. Moore
Rif A. Saurous
SSL
86
131
0
06 Nov 2017
Query-by-Example Search with Discriminative Neural Acoustic Word
  Embeddings
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings
Shane Settle
Keith D. Levin
Herman Kamper
Karen Livescu
60
86
0
12 Jun 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,721
0
28 Feb 2017
Multi-view Recurrent Neural Acoustic Word Embeddings
Multi-view Recurrent Neural Acoustic Word Embeddings
Wanjia He
Weiran Wang
Karen Livescu
53
86
0
14 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
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