東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Automated psychoacoustics-based voic...

Jette, Marie.

FindBook

Google Book

Amazon

博客來

Automated psychoacoustics-based voice-quality assessment.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Automated psychoacoustics-based voice-quality assessment./
作者:	Jette, Marie.
面頁冊數:	34 p.
附註:	Adviser: Robert E. Hillman.
Contained By:	Masters Abstracts International44-06.
標題:	Health Sciences, Speech Pathology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1436466
ISBN:	9780542764882

Automated psychoacoustics-based voice-quality assessment.
Jette, Marie.

Automated psychoacoustics-based voice-quality assessment. - 34 p.

Adviser: Robert E. Hillman.

Thesis (M.S.)--MGH Institute of Health Professions, 2006.

Subjective and objective measures of voice quality are important for diagnosing and treating voice disorders. There are several limitations to using subjective measures alone, and currently available objective measures have not been proven to correlate consistently with human perception. The purpose of this research was to determine how well the Automated Psychoacoustics-based Voice-quality Assessment (APVA), a computer-based system for objectively measuring the level of the noise components in human voice, correlates with auditory perceptual judgments by human listeners of the overall severity of dysphonia in both sustained vowels and sentences produced by speakers with normal and disordered voice. Results indicate that signal-to-noise ratio (SNR) measures calculated by APVA are significantly correlated with perceptual judgments of overall severity of dysphonia for vowels (r = 0.808; r2= 0.653; p < 0.001), but not for sentences (r = 0.389; r2 = 0.1514, p = 0.137). Future research will focus on improving the correlation between APVA-SNR measures for connected speech and listener judgments.

ISBN: 9780542764882Subjects--Topical Terms:

1018105
Health Sciences, Speech Pathology.

Automated psychoacoustics-based voice-quality assessment.
LDR:01941nam 2200265 a 45 001 972370
005 20110927
008 110927s2006 eng d
020 $a 9780542764882
035 $a (UMI)AAI1436466
035 $a AAI1436466
040 $a UMI $c UMI
100 1 $a Jette, Marie. $3 1296377
245 1 0 $a Automated psychoacoustics-based voice-quality assessment.
300 $a 34 p.
500 $a Adviser: Robert E. Hillman.
500 $a Source: Masters Abstracts International, Volume: 44-06, page: 2794.
502 $a Thesis (M.S.)--MGH Institute of Health Professions, 2006.
520 $a Subjective and objective measures of voice quality are important for diagnosing and treating voice disorders. There are several limitations to using subjective measures alone, and currently available objective measures have not been proven to correlate consistently with human perception. The purpose of this research was to determine how well the Automated Psychoacoustics-based Voice-quality Assessment (APVA), a computer-based system for objectively measuring the level of the noise components in human voice, correlates with auditory perceptual judgments by human listeners of the overall severity of dysphonia in both sustained vowels and sentences produced by speakers with normal and disordered voice. Results indicate that signal-to-noise ratio (SNR) measures calculated by APVA are significantly correlated with perceptual judgments of overall severity of dysphonia for vowels (r = 0.808; r2= 0.653; p < 0.001), but not for sentences (r = 0.389; r2 = 0.1514, p = 0.137). Future research will focus on improving the correlation between APVA-SNR measures for connected speech and listener judgments.
590 $a School code: 0895.
650 4 $a Health Sciences, Speech Pathology. $3 1018105
690 $a 0460
710 2 0 $a MGH Institute of Health Professions. $3 1017924
773 0 $t Masters Abstracts International $g 44-06.
790 $a 0895
790 1 0 $a Hillman, Robert E., $e advisor
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1436466