國立虎尾科技大學 |

Influencing Factors in Speech Quality Assessment using Crowdsourcing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Influencing Factors in Speech Quality Assessment using Crowdsourcing/ by Rafael Zequeira Jiménez.
作者:	Jiménez, Rafael Zequeira.
面頁冊數:	XX, 116 p. 26 illus., 19 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Engineering Acoustics. -
電子資源:	https://doi.org/10.1007/978-3-030-93310-4
ISBN:	9783030933104

Influencing Factors in Speech Quality Assessment using Crowdsourcing
Jiménez, Rafael Zequeira.

Influencing Factors in Speech Quality Assessment using Crowdsourcing[electronic resource] /by Rafael Zequeira Jiménez. - 1st ed. 2022. - XX, 116 p. 26 illus., 19 illus. in color.online resource.

Introduction -- Related Work -- Method -- Test Structure -- Impact of Background Noise -- Influence of Language -- Conclusion.

This book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing. The author describes how these factors relate to the test structure, the effect of environmental background noise, and the influence of language differences. He details multiple user-centered studies that have been conducted to derive guidelines for reliable collection of speech quality scores in crowdsourcing. Specifically, different questions are addressed such as the optimal number of speech samples to include in a listening task, the influence of the environmental background noise in the speech quality ratings, as well as methods for classifying background noise from web audio recordings, or the impact of language proficiency in the user perception of speech quality. Ultimately, the results of these studies contributed to the definition of the ITU-T Recommendation P.808 that defines the guidelines to conduct speech quality studies in crowdsourcing.

ISBN: 9783030933104

Standard No.: 10.1007/978-3-030-93310-4doiSubjects--Topical Terms:

785331
Engineering Acoustics.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Influencing Factors in Speech Quality Assessment using Crowdsourcing
LDR:02540nam a22004215i 4500 001 1092146
003 DE-He213
005 20220404152205.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030933104 $9 978-3-030-93310-4
024 7 $a 10.1007/978-3-030-93310-4 $2 doi
035 $a 978-3-030-93310-4
050 4 $a TK5102.9
072 7 $a TJF $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Jiménez, Rafael Zequeira. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1399855
245 1 0 $a Influencing Factors in Speech Quality Assessment using Crowdsourcing $h [electronic resource] / $c by Rafael Zequeira Jiménez.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XX, 116 p. 26 illus., 19 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Related Work -- Method -- Test Structure -- Impact of Background Noise -- Influence of Language -- Conclusion.
520 $a This book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing. The author describes how these factors relate to the test structure, the effect of environmental background noise, and the influence of language differences. He details multiple user-centered studies that have been conducted to derive guidelines for reliable collection of speech quality scores in crowdsourcing. Specifically, different questions are addressed such as the optimal number of speech samples to include in a listening task, the influence of the environmental background noise in the speech quality ratings, as well as methods for classifying background noise from web audio recordings, or the impact of language proficiency in the user perception of speech quality. Ultimately, the results of these studies contributed to the definition of the ITU-T Recommendation P.808 that defines the guidelines to conduct speech quality studies in crowdsourcing.
650 2 4 $a Engineering Acoustics. $3 785331
650 2 4 $a Natural Language Processing (NLP). $3 1254293
650 1 4 $a Signal, Speech and Image Processing . $3 1366353
650 0 $a Acoustical engineering. $3 563185
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Signal processing. $3 561459
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030933098
776 0 8 $i Printed edition: $z 9783030933111
776 0 8 $i Printed edition: $z 9783030933128
856 4 0 $u https://doi.org/10.1007/978-3-030-93310-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)