Basanta Kumar Swain

Work place: Department of Computer Science & Engineering, Government College of Engineering, Kalahandi, Bhawanipatna, Odisha, 766002, India.

E-mail: technobks@yahoo.com

Website:

Research Interests: Speech Synthesis, Speech Recognition, Computer Architecture and Organization, Pattern Recognition, Computer systems and computational processes

Biography

Mr. Basanta Kumar Swain is presently serving as Assistant Professor in the Department of Computer Science & Engineering, Government College of Engineering, Kalahandi, Bhawanipatna, Odisha. He has been doing his research in the domain of Speech Processing for Oriya language since 7 years. His area of interest includes Speech Recognition, Speaker Identification and Pattern Recognition. He has a number of publications to his credit in the international journals and conferences.

Author Articles
Speaker Identification using SVM during Oriya Speech Recognition

By Sanghamitra Mohanty Basanta Kumar Swain

DOI: https://doi.org/10.5815/ijigsp.2015.10.04, Pub. Date: 8 Sep. 2015

In this research paper, we have developed a system that identifies users by their voices and helped them to retrieve the information using their voice queries. The system takes into account speaker identification as well as speech recognition i.e. two pattern recognition techniques in speech domain. The conglomeration of speaker identification task and speech recognition task provides multitude of facilities in comparison to isolated approach. The speaker identification task is achieved by using SVM where as speech recognition is based on HMM. We have used two different types of corpora for training the system. Gamma tone cepstral coefficients and mel frequency cepstral coefficients are extracted for speaker identification and speech recognition respectively. The accuracy of the system is measured from two perspective i.e. accuracy of speaker identity and accuracy of speech recognition task. The accuracy of the speaker identification is enhanced by adopting the speech recognition at the initial stage of speaker identification.

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