ARTSREAM: a neural network model of auditory scene analysis and source segregation
- Author
- GROSSBERG, Stephen1 ; GOVINDARAJAN, Krishna K2 ; WYSE, Lonce L3 ; COHEN, Michael A1
[1] Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, 677 Beacon Street, Boston, MA 02215, United States
[2] SpeechWorks International, 695 Atlantic Avenue, Boston, MA 02111, United States
[3] Laboratories for Information Technology, 21 Heng Mui Keng Terrace, Kent Ridge, 119613, Singapore - Source
Neural networks. 2004, Vol 17, Num 4, pp 511-536, 26 p ; ref : 1 p.1/2
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Adaptive resonance theory Auditory scene analysis Cocktail party problem Neural network Pitch perception Resonance Spatial localization Spectral-pitch resonance Streaming
- Keyword (fr)
- Analyse scène Imagerie auditive Localisation Modélisation Réseau neuronal Résonance Ségrégation Perception tonie
- Keyword (en)
- Scene analysis Auditory imagery Localization Modeling Neural network Resonance Segregation
- Keyword (es)
- Análisis escena Imaginería auditiva Localización Modelización Red neuronal Resonancia Segregación
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 15657408
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neunet.2003.10.002 
https://dx.doi.org/10.1016/j.neunet.2003.10.002
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