ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings.

Räsänen, Okko; Seshadri, Shreyas; Lavechin, Marvin; Cristia, Alejandrina; Casillas, Marisa

Räsänen, Okko; Seshadri, Shreyas; Lavechin, Marvin; Cristia, Alejandrina; Casillas, Marisa.

Afiliação

Räsänen O; Unit of Computing Sciences, Tampere University, P.O. Box 553, FI-33101, Tampere, Finland. okko.rasanen@tuni.fi.
Seshadri S; Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland. okko.rasanen@tuni.fi.
Lavechin M; Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland.
Cristia A; Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d'études cognitives, ENS, EHESS, CNRS, PSL University, Paris, France.
Casillas M; INRIA, Paris, France.

Behav Res Methods ; 53(2): 818-835, 2021 04.

Article em En | MEDLINE | ID: mdl-32875399

Assuntos

Idioma; Fala; Acústica; Adulto; Criança; Linguagem Infantil; Pré-Escolar; Humanos; Desenvolvimento da Linguagem

Palavras-chave

Child-centered audio; LENA; Language development; Speaker diarization; Speech processing; Word count estimation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fala / Idioma Limite: Adult / Child / Child, preschool / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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