Your browser doesn't support javascript.
loading
Song Properties and Familiarity Affect Speech Recognition in Musical Noise.
Brown, Jane A; Bidelman, Gavin M.
Afiliación
  • Brown JA; School of Communication Sciences and Disorders, University of Memphis.
  • Bidelman GM; Institute for Intelligent Systems, University of Memphis.
Psychomusicology ; 32(1-2): 1-6, 2022.
Article en En | MEDLINE | ID: mdl-36246453
ABSTRACT
"Cocktail party" speech perception is largely studied using either linguistic or nonspeech noise maskers. Few studies have addressed how listeners understand speech during concurrent music. We used popular songs to probe the effects of familiarity and different inherent properties of background music (i.e., isolated vocals, isolated instruments, or unprocessed song) on speech recognition. Participants performed an open-set sentence recognition task in the presence of familiar and unfamiliar music maskers (-5 dB signal-to-noise ratio [SNR]) composed of the full unprocessed song, only the instrumentals, or only the vocals. We found that full songs negatively affected recognition performance more so than isolated vocals and instrumentals. Surprisingly, there was also an interaction with music familiarity; well-known music impaired performance in the homologous full song and instrumental conditions. Our results show strong effects of song component and familiarity on speech recognition ability, highlighting interactions between both physical and psychological characteristics of musical noise on task performance. Familiarity impairs speech perception when background music features the instrumentals with or without the vocals. Our findings have implications for understanding the possible facilitation (or interference) of background music during concurrent linguistic tasks including academic study in attempts to promote learning.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Psychomusicology Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Psychomusicology Año: 2022 Tipo del documento: Article