Faculté des sciences

Implementation of Automatic Speech Recognition for Low-Power Miniaturized Devices

Grassi, Sara ; Ansorge, Michael ; Pellandini, Fausto ; Farine, Pierre-André

In: Proceedings of the 5th COST 276 Workshop on Information and Knowledge Management for Integrated Media Communication, 2003, vol. 276, no. 5, p. 59-64

This paper describes the development and implementation of a discrete speech recognizer for application in miniaturized, portable low-power devices. The recognizer is based on Hidden Markov Models (HMMs) and uses Linear Predictive Coefficients (LPC) converted to cepstrum to parameterize the input speech. The implemented recognizer has a complexity of 0.67 MIPS and a recognition performance of... Plus

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    Summary
    This paper describes the development and implementation of a discrete speech recognizer for application in miniaturized, portable low-power devices. The recognizer is based on Hidden Markov Models (HMMs) and uses Linear Predictive Coefficients (LPC) converted to cepstrum to parameterize the input speech. The implemented recognizer has a complexity of 0.67 MIPS and a recognition performance of 97.69 % when recognizing isolated digits in French. The physical implementation of the recognizer was done on a proprietary ASIC DSP and verified using fast prototyping on FPGA.