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Stressed Speech Processing: Human Vs Automatic in Non-Professional Speakers Scenario

This paper analyzes the effect of stress in human and automatic stressed speech processing tasks for speech collected from non-professional speakers. The database of 33 keywords is collected under five stress conditions, namely, neutral, angry, happy, sad and Lombard from fifteen speakers. The first study is to understand the ability to identify stress by human and automatic speech processing. The average performance of human stress classification is 59.44%. The average performance of automatic stress classifier using Vector Quantization (VQ) and Hidden Markov model (HMM) is 54.65% and 56.02%, respectively.

Provided by: Indian Institute of Technology Guwahati Topic: Software Date Added: Dec 2010 Format: PDF

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