Speaker Identification using SVM during Oriya Speech Recognition
Автор: Sanghamitra Mohanty, Basanta Kumar Swain
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 10 vol.7, 2015 года.
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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.
Speaker identification, speech recognition, mel-frequency cepstral coefficients, gammatone frequency cepstral coefficients, support vector machine
Короткий адрес: https://sciup.org/15013915
IDR: 15013915
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