A pattern recognition approach to compare natural and synthetic speech

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1978

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Abstract

In this thesis an effort is made to determine the acoustic feature differences between natural and synthesized speech. Sentences spoken in a natural adult male voice and synthesized on VOTRAX ML-1 speech synthesizer were recorded in a sound proof booth. The recorded sentences were classified into voiced, unvoiced and silence regions contained in them. Parameters like the zerocrossing, linear prediction coefficient and energy were used in making this classification. The results obtained indicate that the synthesized speech tends to contain more unvoicing than the natural speech. The classification accuracy was 99% in the natural speech and 85% in the synthesized speech.

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