Acoustic detection and classification of microchiroptera using machine learning : Lessons learned from automatic speech recognition
- Author
- SKOWRONSKI, Mark D1 ; HARRIS, John G1
[1] Computational Neuro-Engineering Lab, Electrical and Computer Engineering, University of Florida, Gainesville, Florida 32611, United States - Source
The Journal of the Acoustical Society of America. 2006, Vol 119, Num 3, pp 1817-1833, 17 p ; ref : 28 ref
- CODEN
- JASMAN
- ISSN
- 0001-4966
- Scientific domain
- Mechanics acoustics; Physiology, morphology
- Publisher
- Acoustical Society of America, Woodbury, NY
/
American Institute of Physics, Woodbury, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Acoustique Analyse discriminante Capteur mesure Chiroptera Classification Détection acoustique Etude expérimentale Fonction discriminante Homme Intelligence artificielle Large bande Largeur bande Mesure acoustique Mesure automatique Modèle Markov Méthode Gauss Phonétique Reconnaissance automatique Reconnaissance parole Mammalia Vertebrata
- Keyword (en)
- Acoustics Discriminant analysis Measurement sensor Chiroptera Classification Acoustic detection Experimental study Discriminant function Human Artificial intelligence Wide band Bandwidth Acoustic measurement Automatic measurement Markov model Gauss method Phonetics Automatic recognition Speech recognition Mammalia Vertebrata
- Keyword (es)
- Acústica Análisis discriminante Captador medida Chiroptera Clasificación Detección acústica Estudio experimental Función discriminante Hombre Inteligencia artificial Banda ancha Anchura banda Medida acústica Medición automática Modelo Markov Método Gauss Fonética Reconocimiento automático Reconocimiento voz Mammalia Vertebrata
- Classification
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40C Acoustics / 001B40C60 Acoustic signal processing
- Discipline
- Physics : acoustics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17650707
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
10.1121/1.2166948 
https://dx.doi.org/10.1121/1.2166948
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