Dr. Qinru Fan Profile

Dr. Qinru Fan

at Ningbo Institute of Technology

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Proceedings Article | 19 July 2013 Paper

The short-time spectrum analysis of real-time sampling speech with DSP TMS320VC5416 chip

Qinru Fan, Wen-hua Ren

Proceedings Volume 8878, 88783J (2013) https://doi.org/10.1117/12.2030641

KEYWORDS: Digital signal processing, Detection and tracking algorithms, Spectrum analysis, Speech recognition, Computer simulations, Fourier transforms, Signal processing, Analytical research, Communication engineering, Error analysis

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For automatic speech recognition (ASR), the research centers mainly on algorithm of improving robust, researchers put less emphasis on realization and application of better speech algorithm. Real-time proceeding of speech recognition directly influence on its application, so real-time proceeding of speech recognition is as important as study of algorithm. Speech transform domain method is a necessary technique of speech recognition, so real-time analysis of transform domain method is necessary. In transform domain methods, the short-time spectrum analysis is simple and easy to realize, especially the short-time FFT algorithm is applied to the short-time spectrum analysis. FFT algorithm reduces multiplications greatly. For the purpose, this paper presents short-time spectrum analysis of real-time sampling speech based on FFT algorithm. We use DSP TMS320VC5416 chip and speech codec ASIC TLV320AIC23 as hardware, the real-time speech signal is acquired by ASIC TLV320AIC23. When working frequency of TMS320VC5416 is set 160 MHz and sampling frequency is 44.1 kHz, the short-time FFT is radix-2 DIF-FFT algorithm and the length of short-time window is 128, the simulation waves and data show that the short-time FFT algorithm analysis based on TMS320VC5416 chip can meet real-time of system. For estimation of proceeding error, we make a calculation of radix- 2 DIT-IFFT. Comparing the result of DIT-IFFT and sampling speech data, error is less than 10^-3.

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