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Více o knize
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.
Nákup knihy
Voice Quality Detection Based On Temporal And Spatial Features, Poonam Sharma
- Jazyk
- Rok vydání
- 2019
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Voice Quality Detection Based On Temporal And Spatial Features
- Jazyk
- anglicky
- Autoři
- Poonam Sharma
- Vydavatel
- LAP LAMBERT Academic Publishing
- Rok vydání
- 2019
- Vazba
- měkká
- Počet stran
- 64
- ISBN13
- 9786139979769
- Kategorie
- Počítače, IT, programování
- Anotace
- 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.