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¿"Quién" está diciendo "qué"? La decodificación basada en el cerebro de la voz humana y el habla

Elia Formisano¹, Federico De Martino, Milene Bonte

¹Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, University of Maastricht, 6200 MD Maastricht, Netherlands. e.formisano@psychology.unimaas.nl

Science (New York, N.Y.)

|November 8, 2008

Resumen

Los investigadores ahora pueden decodificar el contenido del habla y la identidad del hablante a partir de la actividad cerebral. Este reconocimiento basado en el cerebro utiliza huellas dactilares neuronales en la corteza auditiva, lo que permite la identificación del habla y las voces escuchadas.

Área de la Ciencia:

La neurociencia es la neurociencia.
Ciencias Cognitivas Ciencias Cognitivas.
La lingüística computacional es la lingüística computacional.

Sus antecedentes:

Comprender cómo el cerebro procesa información auditiva compleja como el habla es un desafío clave en la neurociencia.
La identificación de representaciones neuronales distintas para el contenido del habla y la identidad del hablante es crucial para decodificar la percepción auditiva.

Objetivo del estudio:

Investigar si el contenido del habla y la identidad del hablante pueden descifrarse a partir de la actividad cerebral del oyente.
Identificar la base neuronal para reconocer 'qué' se dice y 'quién' está hablando.

Principales métodos:

La resonancia magnética funcional (fMRI) se utilizó para medir la actividad cerebral.
Se aplicó un algoritmo de minería de datos para analizar los patrones neuronales provocados por el habla y las señales de voz.

Principales resultados:

Se descubrió que las huellas dactilares neuronales dentro de la corteza auditiva codifican tanto el contenido del habla como la identidad del hablante.
Estas huellas dactilares corticales están distribuidas espacialmente y son resistentes a las variaciones acústicas.
El método permitió el reconocimiento basado en el cerebro del habla aprendida de nuevos hablantes y las voces aprendidas de nuevas expresiones.

Conclusiones:

Es posible descifrar tanto el contenido del habla como la identidad del hablante a partir de la actividad cerebral del oyente.
Las representaciones neuronales en la corteza auditiva proporcionan una base para el habla humana y el reconocimiento del hablante.
Los hallazgos aclaran la organización cortical y los mecanismos computacionales subyacentes a la percepción auditiva del habla.

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