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A Very Low Resource Language Speech Corpus for Computational Language
  Documentation Experiments

A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments

10 October 2017
Pierre Godard
G. Adda
M. Adda-Decker
Juan Benjumea
Laurent Besacier
Jamison Cooper-Leavitt
Guy-Noël Kouarata
L. Lamel
H. Bonneau-Maynard
Markus Müller
Annie Rialland
Sebastian Stüker
François Yvon
Marcely Zanon Boito
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Papers citing "A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments"

10 / 10 papers shown
Title
Predicting within and across language phoneme recognition performance of
  self-supervised learning speech pre-trained models
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Han Ji
T. Patel
O. Scharenborg
42
7
0
24 Jun 2022
Combining Spectral and Self-Supervised Features for Low Resource Speech
  Recognition and Translation
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation
Dan Berrebbi
Jiatong Shi
Brian Yan
Osbel López-Francisco
Jonathan D. Amith
Shinji Watanabe
10
26
0
05 Apr 2022
Low-resource Languages: A Review of Past Work and Future Challenges
Low-resource Languages: A Review of Past Work and Future Challenges
Alexandre Magueresse
Vincent Carles
Evan Heetderks
31
165
0
12 Jun 2020
Speech Translation and the End-to-End Promise: Taking Stock of Where We
  Are
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
Matthias Sperber
Matthias Paulik
30
106
0
14 Apr 2020
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
Changhan Wang
J. Pino
Anne Wu
Jiatao Gu
SLR
36
82
0
04 Feb 2020
Multilingual End-to-End Speech Translation
Multilingual End-to-End Speech Translation
Hirofumi Inaguma
Kevin Duh
Tatsuya Kawahara
Shinji Watanabe
LRM
28
86
0
01 Oct 2019
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery
  in Low-resource Settings
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
Marcely Zanon Boito
Aline Villavicencio
Laurent Besacier
17
8
0
29 Jun 2019
Unsupervised Word Segmentation from Speech with Attention
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard
Marcely Zanon Boito
Lucas Ondel
Alexandre Berard
François Yvon
Aline Villavicencio
Laurent Besacier
13
27
0
18 Jun 2018
Tied Multitask Learning for Neural Speech Translation
Tied Multitask Learning for Neural Speech Translation
Antonios Anastasopoulos
David Chiang
102
172
0
19 Feb 2018
Bayesian Models for Unit Discovery on a Very Low Resource Language
Bayesian Models for Unit Discovery on a Very Low Resource Language
Lucas Ondel
Pierre Godard
Laurent Besacier
Elin Larsen
M. Hasegawa-Johnson
O. Scharenborg
Emmanuel Dupoux
L. Burget
François Yvon
Sanjeev Khudanpur
21
18
0
16 Feb 2018
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