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FPGA-based real-time speech signal processing

In Electronic Infomation Category: F | on April 20,2011

With the application of speech recognition technology more widely, its real-time requirements are also increasing. Although a dedicated DSP voice chip has hardware acceleration, but the instruction is still a serial basis, in terms of real time has been lacking. Today, parallel computing capacity of the FPGA with increasing frequency, coupled with its flexible design, low power consumption, small size, etc., to meet the real-time speech signal processing requirements. At present, many speech-processing algorithms are based on the software platform, the real voice processing hardware to achieve very little. This persons voice for non-specific signal of the current mainstream voice processing algorithms, and HEF4068BT datasheet and these algorithms based software platform "hardware oriented." In the premise of guaranteed precision floating-point operations will be implemented into a fixed-point FPGA computing easy.

This paper, the speech signal by filtering, framing, window, energy calculation module design as an example, real-time speech signal processing method, requires the use of the MATLAB., DSP Builder, QUARTUS II, ModelSim and HEF4068BT price and other EDA tools joint design. After the speech signal after analog-digital conversion into the FPGA, its filtering, because real-time signal processing, we need a dynamic sub-frame, and HEF4068BT suppliers and finally calculate the energy of each frame of speech signals for further processing, such as endpoint detection, feature extraction, and so do good preparation.

1 real-time processing algorithm analysis

Voice data through the A / D conversion after entering the chip, the first of its filtering. Tends to smooth the signal spectrum, need to be pre-emphasis filter, where the first order FIR filter:

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