Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2010 - zeszyt 11

FPGA implementation of feature extraction algorithm for speaker verification

nr katalogowy: 55999

Biometric systems are usually implemented on personal computers equipped with high-performance microprocessors. This is because of the computation complexity of applied algorithms, as well as their high confidential levels of security. General purpose processors contain floating-point units able to carry out millions of operations per second at frequencies in the GHz range, what allows to resolve the complex algorithms in just a few hundred of milliseconds. However, in the low-cost consumer market, such factors as price, power consumption and size determine the viability of a product. Since the main drawback of microprocessors based systems are the cost, and the necessary space required to incorporate their external associated peripherals, the use of an FPGA (Field Programmable Gate Array) becomes a suited way to implement systems that require a high computational capability at affordable prices. Additionally the FPGA allows to divide and implement algorithm as parallel parts, what allows to perform computations at lower operational circuit frequency which requires less power consumption. FPGA circuits can be programmed by the user and adapted to perform the particular task. Term “programming" in case of a FPGA architecture means changing interconnections in its internal structure and can be repeated many times. This mechanism that allows for FPGA programming on the one hand decreases operating frequency of FPGA chip in comparison to ASIC, on the other hand provides the possibility to tune-up the system to the specific parameters of implemented algorithm. The speaker identification problem can be roughly divided into two issues: speech analysis (feature extraction) and classification. Feature extraction methods are responsible for reducing the resources required to describe speech samples accurately. In case of speech analysis various digital signal processing (DSP) algorithms are used to detect desired features of s[...]

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