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Spectral histogram of oriented gradients (SHOGs) for Tamil language male/female speaker classification

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Abstract

Gender (Male/Female) classification plays a primary vital role to develop a robust Automatic Tamil Speech Recognition (ASR) applications due to the diversity in the vocal tract of speakers. Various features including Formants (F1, F2, F3, F4), Zero Crossings, and Mel-Frequency Cepstral Coefficients (MFCCs) etc. have appeared in the literature especially for speech/signal classification/recognition. Recently Dalal et al. have proposed a feature called as Histogram of Oriented Gradients (HOG) for extracting feature from an image for efficient detection/classification of objects. We extend and apply the HOG for spectrogram of speech signal and hence called as Spectral Histogram of Oriented Gradients (SHOGs). The results of Tamil language male/female speaker classification using SHOGs features shows good improvement in the classification rate when compared to other features. The results of combination of various features with SHOGs are also promissing.

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Acknowledgements

The first author is gratified to National Testing Service (NTS)—India, Central Institute of Indian Languages (CIIL), Ministry of HRD, Govt. of India for the valuable fellowship and thankful to the Ph.D. Supervisor and to Bharathiar University for their valuable support.

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Authors and Affiliations

  1. Dept. of Computer Applications, School of Computer Science and Engineering, Bharathiar University, Coimbatore, 641 046, India

    A. Muthamizh Selvan & R. Rajesh

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  1. A. Muthamizh Selvan
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  2. R. Rajesh
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Correspondence to R. Rajesh.

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Muthamizh Selvan, A., Rajesh, R. Spectral histogram of oriented gradients (SHOGs) for Tamil language male/female speaker classification. Int J Speech Technol 15, 259–264 (2012). https://doi.org/10.1007/s10772-012-9138-4

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  • DOI: https://doi.org/10.1007/s10772-012-9138-4

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