Voice Recognition Technique: A Review |
Author(s): |
| Rakshita Saini , Dr. Akhilesh Das Gupta Institute of Technology and Management; Gunjan Chugh, Dr. Akhilesh Das Gupta Institute of Technology and Management; Nancy Gupta, Dr. Akhilesh Das Gupta Institute of Technology and Management; Raghav Manchanda, Dr. Akhilesh Das Gupta Institute of Technology and Management; Gunjan, Dr. Akhilesh Das Gupta Institute of Technology and Management |
Keywords: |
| Automatic Speech Recognition (ASR), Articulatory Movement, Motor Control, Speech Generation, Vocal Tract, Voice Recognition, MFCC (Mel Frequency Cepstral Coefficient), DCT (Discrete Cosine Transform), FFT (Fast Fourier Transform), IFT (Inverse Fourier Transform), LPC (Linear Prediction Coefficient), LPCCs (Linear Prediction Cepstral Coefficients) |
Abstract |
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Voice Recognition is a biometric technology. It is used to recognize the voice of a particular individual. When the voice is generated, the speech waves from the different voices serve as the basis of identification of speaker. Using voice recognition for security purpose where a person can enter his/her voice for authentication is one of the most important applications. Each voice has its unique characteristics called feature & extracting these features from an individuals voice is called feature extraction. The extracted features are further compared with the saved voices in the database for matching. This paper provides review of various voice recognition systems. |
Other Details |
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Paper ID: IJSRDV7I30447 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 592-594 |
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