Speaker Identification Based Automation System Through MFCC
Speaker Identification Based Automation System Through Speech Recognition
(Sprache: Englisch)
The design and implementation of "Speaker Identification Based Automation System Through Speech Recognition" is developed to improve the authentication of the particular speaker; the goal of the design of a speaker identification based automation system is...
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The design and implementation of "Speaker Identification Based Automation System Through Speech Recognition" is developed to improve the authentication of the particular speaker; the goal of the design of a speaker identification based automation system is to provide an efficient integration and higher security among appliances which can be used in home, offices or industry. Such systems are associated with the household and industry appliances. This project implementation includes the overall design of the wireless Automation System Using Speech Recognition through the MFCC algorithm and speech processor. It gives the design of the Automation system using a wireless communication modules such as ZigBee transceiver and speaker recognition using MATLAB code through the Mel Frequency Cepstral Coefficient (MFCC) algorithm. The straightforward programming interface of Matlab makes it an ideal tool for speech analysis in the project with security aspects. This automation system is designed so that it will be useful for home appliances as well as in industry with user authentication.
Autoren-Porträt von Prabhakar Mhadse, Amol Wani
Mhadse, PrabhakarPrabhakar V. MhadseProf. Prabhakar V. Mhadse did his ME EXTC (Digital Electronics) from NMU Jalgaon under the supervision of Prof. Amol Wani. He did his BE EXTC from the University of Mumbai. At present, he is working as Assistant Professor and Head EXTC department with IETES'S Bharat College of Engineering, Badlapur, Thane.
Bibliographische Angaben
- Autoren: Prabhakar Mhadse , Amol Wani
- 2020, 104 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200787573
- ISBN-13: 9786200787576
Sprache:
Englisch
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