From birdsong to human speech recognition: bayesian inference on a hierarchy of nonlinear dynamical systems.
Our knowledge about the computational mechanisms underlying human learning and recognition of sound sequences, especially speech, is still very limited. One difficulty in deciphering the exact means by which humans recognize speech is that there are scarce experimental findings at a neuronal, micros...
Guardado en:
Autores principales: | Izzet B Yildiz, Katharina von Kriegstein, Stefan J Kiebel |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9e29d4200cfa4238ac0d5a0c24fd5921 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Parallels in the sequential organization of birdsong and human speech
por: Tim Sainburg, et al.
Publicado: (2019) -
Training birdsong recognition using virtual reality
por: Carlos Arce-Lopera, et al.
Publicado: (2021) -
Cortical hierarchies perform Bayesian causal inference in multisensory perception.
por: Tim Rohe, et al.
Publicado: (2015) -
Functional connectivity between face-movement and speech-intelligibility areas during auditory-only speech perception.
por: Sonja Schall, et al.
Publicado: (2014) -
Recognizing sequences of sequences.
por: Stefan J Kiebel, et al.
Publicado: (2009)