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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.9
- 수록면
- 241 - 247 (7page)
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This paper presents the design of a System on Programmable Chip (SoPC) based on Field Programmable Gate Array (FPGA) for speech recognition in which Mel-Frequency Cepstral Coefficients (MFCC) for speech feature extraction and Vector Quantization for recognition are used. The implementing process of the speech recognition system undergoes the following steps: feature extraction, training codebook, recognition. In the first step of feature extraction, the input voice data will be transformed into spectral components and extracted to get the main features by using MFCC algorithm. In the recognition step, the obtained spectral features from the first step will be processed and compared with the trained components. The Vector Quantization (VQ) is applied in this step. In our experiment, Altera's DE2 board with Cyclone II FPGA is used to implement the recognition system which can recognize 64 words. The execution speed of the blocks in the speech recognition system is surveyed by calculating the number of clock cycles while executing each block. The recognition accuracies are also measured in different parameters of the system. These results in execution speed and recognition accuracy could help the designer to choose the best configurations in speech recognition on SoPC.
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참고문헌 (10)
참고문헌 신청
1. [단행본] - Lawrance Rabiner / 1993 / Fundamentals of Speech Recognition / Prentice Hall PTR
2. [인터넷자원] - Thomas Hain / / The Hidden Markov Model Toolkit (HTK) Book (for HTK version 3.2.1)
3. [학술지(정기간행물)] - V. Amudha / 2009 / Software/Hardware Co-Design of HMM based Isolated Digit Recognition System / Journal of Computers 4 (2) : 154 ~ 159
4. [학술지(정기간행물)] - Haitao Zhou / 2009 / Design and Implementation of Speech Recognition System Based on Field Programmable Gate Array / Modern Applied Science 3 (8) : 106 ~ 111
5. [학술대회논문] - Wei Han / 2006 / An Efficient MFCC Extraction Method in Speech Recognition / the 2006 IEEE International Symposium on Circuits and Systems (ISCAS) : 145 ~ 148
2. [인터넷자원] - Thomas Hain / / The Hidden Markov Model Toolkit (HTK) Book (for HTK version 3.2.1)
3. [학술지(정기간행물)] - V. Amudha / 2009 / Software/Hardware Co-Design of HMM based Isolated Digit Recognition System / Journal of Computers 4 (2) : 154 ~ 159
4. [학술지(정기간행물)] - Haitao Zhou / 2009 / Design and Implementation of Speech Recognition System Based on Field Programmable Gate Array / Modern Applied Science 3 (8) : 106 ~ 111
5. [학술대회논문] - Wei Han / 2006 / An Efficient MFCC Extraction Method in Speech Recognition / the 2006 IEEE International Symposium on Circuits and Systems (ISCAS) : 145 ~ 148
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UCI(KEPA) : I410-ECN-0101-2017-056-001397567