한국음향학회:학술대회논문집 (Proceedings of the Acoustical Society of Korea Conference)
- 한국음향학회 1993년도 학술논문발표회 논문집 제12권 1호
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- Pages.117-120
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- 1993
URAN VLSI chip을 이용한 숫자음 인식
Spoken Digit Recognition Using URAN(Universally Reconstructable Artificial Neural-network)VLSI Chip
초록
In this paper, we explore the possibility of URAN(Universally Reconstructable Artificial Neural-network) VLSI chip for speech recognition. URAN, a newly developed analog-digital hybrid neural chip, is discussed in respects to its input, output, and weight accuracy and their relations to its performance on speaker independent digit recognition. Multi-layer perceptron(MLP) nets including a large frame input layer are used to recognize a digit syllable at a forward retrieval. The simulation results using the full and limited floating precision computations for the input, output, and weight variables of the network give the comparable classification performance. An MLP with piecewise linear hidden and output units is also trained successfully using low accuracy computation.
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