The Short-Time Spectrum Analysis of Real-Time Sampling Speech with DSP TMS320VC5416 Chip
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 shorttime 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 realtime 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 shorttime 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 D1T-IFFT. Comparing the result of DIT-IFFT and sampling speech data, error is less than 10~3 .
short-time spectrum analysis FFT algorithm the proceeding of real-time sampling speech DSP TMS320VC5416
Qinru Fan Ren Wen-hua
Communication Science and Engineering Department Ningbo Institute of Technology, Zhejiang University Department of Computer and Information Technology, Zhejiang Police College Hangzhou,China
国际会议
重庆
英文
370-373
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）