A Tunable Forced Alignment System Based on Deep Learning: Applications to Child Speech.

Purpose: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade alignment. Current tools do not support direct tra...

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Detalles Bibliográficos
Publicado en:	Journal of Speech, Language & Hearing Research Vol. 68; pp. 3583 - 3602
Autores principales:	Kadambi, Prad, Mahr, Tristan J., Hustad, Katherine C., Berisha, Visar
Formato:	Artículo
Publicado:	American Speech-Language-Hearing Association 2025 Supplement
Materias:	Child development Phonetics Language acquisition Children Physiological adaptation Research funding Descriptive statistics Verbal behavior testing Audiometry Intelligibility of speech Physiological aspects of speech Deep learning Speech evaluation Speech audiometry Automation Comparative studies Articulation (Speech)
Acceso en línea:	Ver este registro en EBSCOhost