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International Conference on Graphic and Image Processing (ICGIP 2011)
Speech recognition is still a growing field. It carries strong potential in the near future as computing power grows. Spectrum analysis is an elementary operation in speech recognition. Fast Fourier Transform (FFT) is the traditional technique to analyze frequency spectrum of the signal in speech recognition. Speech recognition operation requires heavy computation due to large samples per window. In addition, FFT consists of complex field computing. This paper proposes an approach based ondoi:10.1117/12.913491 fatcat:xizwjmgjvvhjfnaebvuelvi4ia