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Focusing on the automatic identification of voice qualities, this book presents a technique that enhances speech recognition systems. It utilizes three key characteristics of speech signals: Zero Crossing Rate, Short Time Energy, and Fundamental Frequency. The effectiveness of the proposed algorithm is demonstrated through data from three different speakers, achieving an overall accuracy of 87.2%. This work highlights the potential for improved speech detection through advanced analysis of vocal attributes.
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Voice Quality Detection Based On Temporal And Spatial Features, Poonam Sharma
- Language
- Released
- 2019
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- Title
- Voice Quality Detection Based On Temporal And Spatial Features
- Language
- English
- Authors
- Poonam Sharma
- Publisher
- LAP LAMBERT Academic Publishing
- Publisher
- 2019
- Format
- Paperback
- Pages
- 64
- ISBN13
- 9786139979769
- Category
- Computers, IT, Programming
- Description
- Focusing on the automatic identification of voice qualities, this book presents a technique that enhances speech recognition systems. It utilizes three key characteristics of speech signals: Zero Crossing Rate, Short Time Energy, and Fundamental Frequency. The effectiveness of the proposed algorithm is demonstrated through data from three different speakers, achieving an overall accuracy of 87.2%. This work highlights the potential for improved speech detection through advanced analysis of vocal attributes.