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Robust syllabification of continuous speech is a vital aspect of language and speech processing systems. Syllabification of speech can be done by detecting the syllable nuclei. Syllable is the basic production unit of human speech and syllable nuclei can be attributed to high energy sonarants or resonant sounds which are relatively loud and carry a clear pitch. In this work, high spectral energy at...
In this paper, we are introducing speech database consists of 27 Indian languages for analyzing language specific information present in speech. In the context of Indian languages, systematic analysis of various speech features and classification models in view of automatic language identification has not performed, because of the lack of proper speech corpus covering majority of the Indian languages...
In this paper, we propose a method for detecting the vowel onset points (VOPs) for low bit rate coded speech. VOP is the instant at which the onset of the vowel takes place in the speech signal. VOP plays an important role for the applications, such as consonant–vowel (CV) unit recognition and speech rate modification. The proposed VOP detection method is based on the spectral energy present in the...
Speech coding is one of the major degradation involved in building the speech systems in mobile environment. In this paper, we are exploring the effect of low bit rate speech coding on the accuracy of detection of epochs. Epoch is referred as the instant of significant excitation of the vocal-tract system during production of speech. Many speech applications depend on the the accurate estimation of...
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