Gender classification based on feed forward backpropagation neural network

IFIP International Federation for Information Processing

Volumn 247, Issue , 2007, Pages 299-304

  Azghadi, S Mostafa Rahimi ^a   Bonyadi, M Reza ^a   Shahhosseini, Hamed ^a  

^a SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Backpropagation neural network; Fast fourier transform; Gender classifications; Pitch features

Indexed keywords

FAST FOURIER TRANSFORMS; NEURAL NETWORKS;

BACK PROPAGATION NEURAL NETWORKS; CLASSIFICATION ACCURACY; CONTENT-BASED MULTIMEDIA; FEEDFORWARD BACKPROPAGATION NEURAL NETWORKS; GENDER CLASSIFICATION; MLP NEURAL NETWORKS; PITCH FEATURES; SPEECH SEGMENTS;

SOCIAL SCIENCES;

EID: 36348953809     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-74161-1_32     Document Type: Conference Paper

References (7)

1. Hadi Harb, Liming Chen, Voice-Based Gender Identification in Multimedia Applications, Journal of Intelligent Information Systems, 24:2/3, 179-198, 2005.
2. Marston D., Gender Adapted Speech Coding, Proc 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1998. ICASSP 98, Vol. 1, 12-15, pp. 357-360.
3. Konig, Y. and Morgan, N., GDNN a Gender Dependent Neural Network for Continuous Speech Recognition, International Joint Conference on Neural Networks, 1992. IJCNN, Vol. 2, 7-11, pp. 332-337.
4. Rivarol, V., Farhat, A., and O'Shaughnessy D., Robust Gender-Dependent Acoustic-Phonetic Modelling in Continuous Speech Recognition Based on a New Automatic Male Female Classification, Proc. Fourth International Conference on Spoken Language, 1996. ICSLP 96, Vol. 2, 3-6, pp. 1081-1084.
5. Parris, E.S. and Carey, M. J., Language Independent Gender Identification, Proc IEEE ICASSP, pp. 685-688.
6. Martland, P., Whiteside, S.P., Beet, S.W., and Baghai-Ravaiy, Analysis of Ten Vowel Sounds Across Gender and Regional Cultural Accent Proc Fourth International Conference on Spoken Language, 1996. ICSLP 96, Vol. 4, 3-6, pp. 2231-2234.
7. Quast, Holger, Automatic Recognition of Nonverbal Speech: An Approach to Model the Perception of Para- and Extralinguistic Vocal Communication with Neural Networks, Machine Perception Lab Tech Report 2002/2. Institute for Neural Computation, UCSD. Download Website: http://mplab.ucsd.edU/databases/databases.html#orator