東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion.

Record Type:	Electronic resources : Monograph/item
Title/Author:	How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion./
Author:	Kowallis, Logan Ricks.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	62 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Contained By:	Dissertations Abstracts International83-01A.
Subject:	Clinical psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28538330
ISBN:	9798522939229

How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion.
Kowallis, Logan Ricks.

How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 62 p.

Source: Dissertations Abstracts International, Volume: 83-01, Section: A.

Thesis (Ph.D.)--Brigham Young University, 2021.

This item must not be sold to any third party vendors.

Emotion recognition from facial expressions has been thoroughly explored and explained through decades of research, but emotion recognition from vocal expressions has yet to be fully explained. This project builds on previous experimental approaches to create a large audio corpus of acted vocal emotion. With a large enough sample size, both in number of speakers and number of recordings per speaker, new hypotheses can be explored for differentiating emotions. Recordings from 131 subjects were collected and made available in an online corpus under a Creative Commons license. Thirteen acoustic features from 120 subjects were used as dependent variables in a MANOVA model to differentiate emotions. As a comparison, a simple neural network model was evaluated for its predictive power. Additional recordings intended to exhaust possible ways to express emotion are also explored. This new corpus matches some features found in previous studies for each of the four emotions included (anger, fear, happiness, and sadness).

ISBN: 9798522939229Subjects--Topical Terms:

524863
Clinical psychology.
Subjects--Index Terms:

Emotion

How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion.
LDR:02183nmm a2200373 4500 001 2349307
005 20220920133716.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798522939229
035 $a (MiAaPQ)AAI28538330
035 $a (MiAaPQ)BrighamYoung9930
035 $a AAI28538330
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kowallis, Logan Ricks. $3 3688717
245 1 0 $a How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 62 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
502 $a Thesis (Ph.D.)--Brigham Young University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Emotion recognition from facial expressions has been thoroughly explored and explained through decades of research, but emotion recognition from vocal expressions has yet to be fully explained. This project builds on previous experimental approaches to create a large audio corpus of acted vocal emotion. With a large enough sample size, both in number of speakers and number of recordings per speaker, new hypotheses can be explored for differentiating emotions. Recordings from 131 subjects were collected and made available in an online corpus under a Creative Commons license. Thirteen acoustic features from 120 subjects were used as dependent variables in a MANOVA model to differentiate emotions. As a comparison, a simple neural network model was evaluated for its predictive power. Additional recordings intended to exhaust possible ways to express emotion are also explored. This new corpus matches some features found in previous studies for each of the four emotions included (anger, fear, happiness, and sadness).
590 $a School code: 0022.
650 4 $a Clinical psychology. $3 524863
650 4 $a Happiness. $3 531559
650 4 $a Linguistics. $3 524476
650 4 $a Emotions. $3 524569
650 4 $a Neural networks. $3 677449
653 $a Emotion
653 $a Vocal emotion
653 $a Acting
653 $a Neural networks
653 $a Artificial intelligence
653 $a Voice
690 $a 0622
690 $a 0290
710 2 $a Brigham Young University. $3 1017451
773 0 $t Dissertations Abstracts International $g 83-01A.
790 $a 0022
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28538330