The Effect of Experience on Classification of Voice Quality

被引:20
|
作者
Sofranko, Jessica L. [1 ]
Prosek, Robert A. [1 ]
机构
[1] Penn State Univ, Dept Commun Sci & Disorder, University Pk, PA 16802 USA
关键词
Voice perception; Experienced listener; Voice classification; Interrater agreement; PERCEPTUAL EVALUATION; RELIABILITY; SCALE; GRBAS;
D O I
10.1016/j.jvoice.2011.07.003
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Objectives/Hypothesis. The purpose of this study was to compare the agreement among several groups of listeners with different types of experience in regard to classifying voice quality. Study Design. This is a retrospective cross-sectional quasi-experimental design. Method. This study compared three groups: speech-language pathologists who specialize in voice, singing voice teachers, and inexperienced listeners. All groups were asked to classify voice samples as breathy, rough, or normal. Results. Results show a significant difference across all groups with speech-language pathologists demonstrating a substantial interrater agreement, k = 0.67, z = 103.07 (P < 0.01); singing voice teachers demonstrating a moderate interrater agreement, k = 0.53, z = 79.10 (P < 0.01); and inexperienced listeners demonstrating a fair interrater agreement, k = 0.24, z = 35.82 (P < 0.01). Conclusions. Experienced listeners demonstrated a higher interrater agreement as compared with inexperienced listeners, with speech-language pathologists demonstrating a superior agreement as compared with all groups.
引用
下载
收藏
页码:299 / 303
页数:5
相关论文
共 50 条
  • [21] Quality of Experience Adaptation Controllers for Voice and Video in Wireless Networks
    Rodrigues, David
    Cerqueira, Eduardo
    Monteiro, Edmundo
    WIRED/WIRELESS INTERNET COMMUNICATIONS, 2011, 6649 : 350 - 361
  • [22] The Effect of Noise on Deep Learning for Classification of Pathological Voice
    Hasebe, Koki
    Kojima, Tsuyoshi
    Fujimura, Shintaro
    Tamura, Keiichi
    Kawai, Yoshitaka
    Kishimoto, Yo
    Omori, Koichi
    LARYNGOSCOPE, 2024, 134 (08): : 3537 - 3541
  • [23] Measuring User Experience Quality of Voice Assistants Voice Communication Scales for the UEQ plus Framework
    Klein, Andreas M.
    Schrepp, Martin
    Hinderks, Andreas
    Thomaschewski, Joerg
    2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020), 2020,
  • [24] EFFECT OF MENSTRUAL-CYCLE ON VOICE QUALITY
    SILVERMAN, EM
    ZIMMER, CH
    ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY, 1978, 104 (01) : 7 - 10
  • [25] The Effect of Telephone Transmission on Voice Quality Perception
    Passetti, Renate Regina
    Constantini, Ana Carolina
    JOURNAL OF VOICE, 2019, 33 (05) : 649 - 658
  • [26] Subjective Evaluation of Voice Quality over GSM Network for Quality of Experience (QoE) Measurement
    Arifianto, Dhany
    Sulistomo, Try R.
    2015 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS), 2015, : 148 - 152
  • [27] Modal and Nonmodal Voice Quality Classification Using Acoustic and Electroglottographic Features
    Borsky, Michal
    Mehta, Daryush D.
    Van Stan, Jarrad H.
    Gudnason, Jon
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2017, 25 (12) : 2281 - 2291
  • [28] Testing acoustic voice quality classification across languages and speech styles
    Braun, Bettina
    Dehe, Nicole
    Einfeldt, Marieke
    Wochner, Daniela
    Zahner-Ritter, Katharina
    INTERSPEECH 2021, 2021, : 3920 - 3924
  • [29] Analysis of acoustic and voice quality features for the classification of infant and mother vocalizations
    Li, Jialu
    Hasegawa-Johnson, Mark
    McElwain, Nancy L.
    SPEECH COMMUNICATION, 2021, 133 : 41 - 61
  • [30] ''The voice of experience''
    Spitzer, AR
    IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1997, 16 (06): : 10 - 10