Music and speech are distinct in lexical tone normalization processing

Ran Tao; Gang Peng

Music and speech are distinct in lexical tone normalization processing

Ran Tao
, Gang Peng

Department of Language Science and Technology

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents the results of a Cantonese lexical tone normalization experiment. Two non-linguistic (i.e., music and nonspeech) context conditions were used in addition to a speech context condition to elicit listeners’
normalization of level tones following contexts with fundamental frequency alterations. Participants showed clear tone normalization in the speech context condition. Participants’ normalization performances in the non-linguistic conditions were not significantnbut comparable to each other. The findings indicated that the non-linguistic music context is not sufficient to support lexical tone normalization.

Original language	English
Title of host publication	Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34)
Editors	Minh Le Nguyen, Mai Chi Luong, Sanghoun Song
Publisher	Association for Computational Linguistics (ACL)
Pages	286-293
Number of pages	8
Publication status	Published - Oct 2020
Event	The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34) - Vietnam National University, Hanoi, Viet Nam Duration: 24 Oct 2020 → 26 Oct 2020

Conference

Conference	The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34)
Country/Territory	Viet Nam
City	Hanoi
Period	24/10/20 → 26/10/20

ASJC Scopus subject areas

Language and Linguistics
Computer Science (miscellaneous)

More information

https://aclanthology.org/2020.paclic-1.33

Cite this

@inproceedings{18f15c4b884e45bcabac6d220d5f61ce,

title = "Music and speech are distinct in lexical tone normalization processing",

abstract = "This paper presents the results of a Cantonese lexical tone normalization experiment. Two non-linguistic (i.e., music and nonspeech) context conditions were used in addition to a speech context condition to elicit listeners{\textquoteright} normalization of level tones following contexts with fundamental frequency alterations. Participants showed clear tone normalization in the speech context condition. Participants{\textquoteright} normalization performances in the non-linguistic conditions were not significantnbut comparable to each other. The findings indicated that the non-linguistic music context is not sufficient to support lexical tone normalization.",

author = "Ran Tao and Gang Peng",

note = "Publisher Copyright: {\textcopyright} PACLIC 2020.All rights reserved.; The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34) ; Conference date: 24-10-2020 Through 26-10-2020",

year = "2020",

month = oct,

language = "English",

pages = "286--293",

editor = "Nguyen, \{Minh Le\} and Luong, \{Mai Chi\} and Sanghoun Song",

booktitle = "Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34)",

publisher = "Association for Computational Linguistics (ACL)",

}

Tao, R & Peng, G 2020, Music and speech are distinct in lexical tone normalization processing. in ML Nguyen, MC Luong & S Song (eds), Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34). Association for Computational Linguistics (ACL), pp. 286-293, The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34), Hanoi, Viet Nam, 24/10/20. <https://aclanthology.org/2020.paclic-1.33>

Music and speech are distinct in lexical tone normalization processing. / Tao, Ran ; Peng, Gang.
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34). ed. / Minh Le Nguyen; Mai Chi Luong; Sanghoun Song. Association for Computational Linguistics (ACL), 2020. p. 286-293.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Music and speech are distinct in lexical tone normalization processing

AU - Tao, Ran

AU - Peng, Gang

PY - 2020/10

Y1 - 2020/10

N2 - This paper presents the results of a Cantonese lexical tone normalization experiment. Two non-linguistic (i.e., music and nonspeech) context conditions were used in addition to a speech context condition to elicit listeners’ normalization of level tones following contexts with fundamental frequency alterations. Participants showed clear tone normalization in the speech context condition. Participants’ normalization performances in the non-linguistic conditions were not significantnbut comparable to each other. The findings indicated that the non-linguistic music context is not sufficient to support lexical tone normalization.

AB - This paper presents the results of a Cantonese lexical tone normalization experiment. Two non-linguistic (i.e., music and nonspeech) context conditions were used in addition to a speech context condition to elicit listeners’ normalization of level tones following contexts with fundamental frequency alterations. Participants showed clear tone normalization in the speech context condition. Participants’ normalization performances in the non-linguistic conditions were not significantnbut comparable to each other. The findings indicated that the non-linguistic music context is not sufficient to support lexical tone normalization.

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M3 - Conference article published in proceeding or book

SP - 286

EP - 293

BT - Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34)

A2 - Nguyen, Minh Le

A2 - Luong, Mai Chi

A2 - Song, Sanghoun

PB - Association for Computational Linguistics (ACL)

T2 - The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34)

Y2 - 24 October 2020 through 26 October 2020

ER -

Music and speech are distinct in lexical tone normalization processing

Abstract

Conference

ASJC Scopus subject areas

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