Pitch detection using real-time processing system based on the cluster system

[摘要] References(7)A high performance pitch detection algorithm, called harmonic wavelet transform method, was proposed. Since the algorithm is based on a continuous wavelet transform, the cost of computation is high. However, real-time processing of the algorithm is required for some acoustical applications, such as multi-modal interface which can take into account of human emotion. Digital Signal Processor (DSP) is suitable for implementation due to its compactness. However, implementaion of the algorithm on DSP costs too much with respect to both time and funds. In order to release the issues, one of other devices is a cluster system. The cluster system can be constructed with ease because the computer node has recently becomes inexpensive. Moreover, software packages for parallel and distributed computing can be obtained without difficulty. From the viewpoint of acoustical signal processing services on the Internet, the implementaion on network connected systems, such as the cluster system, becomes an important issue for ubiquitous and grid computing. This paper proposes the parallel algorithm of the harmonic wavelet transform method. Furthermore, the proposed algorithm is implemented on a signal processing system based on cluster system. As a result, the proposed parallel algorithm is executed in real-time due to both the proposed parallel algorithm and the constructed real-time signal processing system.

[学科分类] 声学和超声波

[关键词] Pitch detection;Real-time processing;Parallel processing;Distributed processing