Effect of SVD Based Processing on the Perception of Voiced and Unvoiced Consonants
Balvinder kour1, Randhir Singh2, Parveen Lehana3
1Balvinder Kour, M.tech student, Electronics and Communication Engineering Department, Sri Sai College of Engineering and Technology, Badhani, Pathankot, Punjab, India.
2Randhir Singh, Assistant Professor & Head, Electronics and Communication Engineering Department, Sri Sai College of Engineering and Technology, Badhani, Pathankot, Punjab, India.
3Parveen Lehana, Associate Professor, Physics and Electronics Department, Jammu University, J&K, India.
Manuscript received on December 01, 2012. | Revised Manuscript received on December 18, 2012. | Manuscript published on December 25, 2012. | PP: 6-10 | Volume-1 Issue-2, December 2012 | Retrieval Number: B0113121212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speech is a biomedical signal used by the human beings to communicate. It is generated by exciting the vocal tract from the impulses of the air coming from the lungs through the vocal cords. Sometimes, the speech generated may not be adequate for understanding or transmission. In that case, it is modified using the concepts of speech processing. In this paper the singular value decomposition (SVD) technique is used to process and the output are evaluated using informal listening tests for investigating its effect on perception. This technique may have applications in speech compression, speech enhancement, speech recognition, and speech synthesis. The speech signal in the form of vowels-consonant-vowel (VCV) was recorded for the six speakers (3 males and 3 females). These VCVs were analyzed using SVD based technique and the effect of the reduction in singular values was investigated on the perception of the resynthesized VCVs using reduced singular values. Investigations have shown that the number of singular values can be drastically reduced without significantly affecting the perception of the VCVs.
Keywords: Speech signal, Speech generation, Speech processing, Speech compression, Singular value decomposition.