Dual-ALU Processor for Speech Signal Processing

This paper proposed a low-cost dual-ALU processor for speech recognition. It does not give an emphasis on sophistication but on low-cost solution. The dual-ALU architecture provides parallel calculation capability. For the consideration of chip size, the area of the second ALU is only half of the first ALU. We use hardware-software codesign method to implement the speech recognition. The feature extraction bases on LPC-cepstrum coefficients, and template matching employs Hidden Markov Models (HMM). The processor is designed to process the HMM and connect with the ASIC of LPC-cepstrum.