Evaluating Different Non-native Pronunciation Scoring Metrics with the Japanese Speakers of the SAMPLE Corpus

被引：0

作者：

Alvarez, Vandria Alvarez ^{[1
]}

Escudero Mancebo, David ^{[1
]}

Gonzalez Ferreras, Cesar ^{[1
]}

Cardenoso Payo, Valentin ^{[1
]}

机构：

[1] Univ Valladolid, Dept Comp Sci, Valladolid, Spain

来源：

ADVANCES IN SPEECH AND LANGUAGE TECHNOLOGIES FOR IBERIAN LANGUAGES, IBERSPEECH 2016 | 2016年 / 10077卷

关键词：

Computer Assisted Pronunciation Training (CAPT); Goodness of Pronunciation (GOP); Hidden Markov Models (HMM); Automatic Speech Recognition (ASR); L2; pronunciation;

D O I：

10.1007/978-3-319-49169-1_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents an analysis over the set of results derived from the goodness of pronunciation (GOP) algorithm for the evaluation of pronunciation at phoneme level over the SAMPLE corpus of non native speech. This corpus includes several recordings of uttered sentences by distinct speakers that have been rated in terms of quality by a group of linguists. The utterances have been automatically rated with the GOP algorithm. The phoneme dependence is discussed to suggest the normalization of intermediate results that could enhance the metrics performance. As result, new scoring proposals are presented which are based on computing the log-likelihood values obtained from the GOP algorithm and the application of a set of rules. These new scores show to correlate with the human rates better than the original GOP metric.

引用

页码：205 / 214

页数：10

共 50 条

[1] Neural underpinning of Japanese particle processing in non-native speakers
Kasai, Chise
Sumiya, Motofumi
Koike, Takahiko
Yoshimoto, Takaaki
Maki, Hideki
Sadato, Norihiro
[J]. SCIENTIFIC REPORTS, 2022, 12 (01)
[2] Comparative evaluation of automated scoring of syntactic competence of non-native speakers
Zechner, Klaus
Yoon, Su-Youn
Bhat, Suma
Leong, Chee Wee
[J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 76 : 672 - 682
[3] Neural underpinning of Japanese particle processing in non-native speakers
Chise Kasai
Motofumi Sumiya
Takahiko Koike
Takaaki Yoshimoto
Hideki Maki
Norihiro Sadato
[J]. Scientific Reports, 12
[4] Exploring effective methods for automated essay scoring of non-native speakers
Poonpon, Kornwipa
Manorom, Paiboon
Chansanam, Wirapong
[J]. CONTEMPORARY EDUCATIONAL TECHNOLOGY, 2023, 15 (04)
[5] Development of Japanese read-word database for non-native speakers of Japanese
Yamakawa, Kimiko
Amano, Shigeaki
Kondo, Mariko
[J]. Oriental COCOSDA 2014 - 17th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment / CASLRE (Conference on Asian Spoken Language Research and Evaluation), 2014,
[6] DEVELOPMENT OF JAPANESE READ-WORD DATABASE FOR NON-NATIVE SPEAKERS OF JAPANESE
Yamakawa, Kimiko
Amana, Shigeaki
Kondo, Mariko
[J]. 2014 17TH ORIENTAL CHAPTER OF THE INTERNATIONAL COMMITTEE FOR THE CO-ORDINATION AND STANDARDIZATION OF SPEECH DATABASES AND ASSESSMENT TECHNIQUES (COCOSDA), 2014,
[7] Do native and non-native speakers make different judicial decisions?
Ruhle, Marie-Christine
Lev-Ari, Shiri
[J]. BILINGUALISM-LANGUAGE AND COGNITION, 2024,
[8] Design and Development of Multimedia Pronunciation Learning Management System for Non-Native English Speakers
Por, Fei Ping
Mustafa, Zarina
Osman, Shuki
Phoon, Hooi San
Fong, Soon Fook
[J]. 12TH INTERNATIONAL EDUCATIONAL TECHNOLOGY CONFERENCE - IETC 2012, 2012, 64 : 584 - 593
[9] Emotion Detection in Non-native English Speakers' Text-Only Messages by Native and Non-native Speakers
Hautasaari, Ari
Yamashita, Naomi
[J]. HUMAN-COMPUTER INTERACTION, PT I, 2015, 9296 : 183 - 200
[10] iCALL Corpus: Mandarin Chinese Spoken by Non-Native Speakers of European Descent
Chen, Nancy F.
Tong, Rong
Wee, Darren
Lee, Peixuan
Ma, Bin
Li, Haizhou
[J]. 16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, 2015, : 324 - 328

← 1 2 3 4 5 →