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Speech-induced suppression during natural dialogues.
Gonzalez, Joaquin E; Nieto, Nicolás; Brusco, Pablo; Gravano, Agustín; Kamienkowski, Juan E.
Afiliación
  • Gonzalez JE; Laboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación (Universidad de Buenos Aires - Consejo Nacional de Investigaciones Cientificas y Tecnicas), Buenos Aires, Argentina. joaquin.gonzalez6693@gmail.com.
  • Nieto N; Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i) (Universidad Nacional del Litoral - Consejo Nacional de Investigaciones Cientificas y Tecnicas), Santa Fe, Argentina.
  • Brusco P; Instituto de Matemática Aplicada del Litoral, IMAL-UNL/CONICET, Santa Fe, Argentina.
  • Gravano A; Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
  • Kamienkowski JE; Laboratorio de Inteligencia Artificial, Universidad Torcuato Di Tella, Buenos Aires, Argentina.
Commun Biol ; 7(1): 291, 2024 Mar 08.
Article en En | MEDLINE | ID: mdl-38459110
ABSTRACT
When engaged in a conversation, one receives auditory information from the other's speech but also from their own speech. However, this information is processed differently by an effect called Speech-Induced Suppression. Here, we studied brain representation of acoustic properties of speech in natural unscripted dialogues, using electroencephalography (EEG) and high-quality speech recordings from both participants. Using encoding techniques, we were able to reproduce a broad range of previous findings on listening to another's speech, and achieving even better performances when predicting EEG signal in this complex scenario. Furthermore, we found no response when listening to oneself, using different acoustic features (spectrogram, envelope, etc.) and frequency bands, evidencing a strong effect of SIS. The present work shows that this mechanism is present, and even stronger, during natural dialogues. Moreover, the methodology presented here opens the possibility of a deeper understanding of the related mechanisms in a wider range of contexts.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Habla / Electroencefalografía Límite: Humans Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Habla / Electroencefalografía Límite: Humans Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Reino Unido