ISSN (Online) : 2394-6237
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IJAICE ISSN (Online) : 2394-6237
Title    :   An Efficient Convolutional Neural Network Based
Authors    :   Dr. S. Subasree , Dr.D.SatishKumar, Mr.S.Mani, Mr.L.Krishna Kumar, R. Karthika, S. Pooja
Keywords    :   Speech , Voice, Smart Devices, Voice Controller, etc.
Issue Date    :   March 2020
Abstract    :   Speech and Voice Recognition, sometimes known as Voice Biometrics, is used for the recognising an individual Voice or Speech, This is the systems for finding various applications in a number of different domains including Telephone Banking • E Commerce and Forensics, Human Voice is also being incorporated into user interfaces for accessing and controlling smartphones and personal virtual assistants in the form of voice-controlled user interfaces. Thus the voice recognition is an prime importance to access and control as well of our Smart Devices. Thus more researchers are focusing Speech Recognition Technique to achieve better recognition with higher accuracy. The Mel Frequency Cepstral Coefficients (MFCC) and Linear Predictive Coding (LPC) are considered as the best Recognition Approaches for Voice and Speech Recognition. This existing work computed average weight of MFCC and LPC for predicting and recognising Speech or Voice Recognition.
Page(s)    :   17-20
ISSN(Online)    :   2394-6237
Source    :   IJAICE - Volume 6 Issue 3
PDF    :   Download