A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Adapting Constant Multipliers in a Neural Network Implementation
FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Continuously variable duration hidden Markov models for automatic speech recognition
Computer Speech and Language
Implementing a Hidden Markov Model Speech Recognition System in Programmable Logic
FPL '01 Proceedings of the 11th International Conference on Field-Programmable Logic and Applications
Speech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
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Continuous real-time speech recognition is a highly computationallydemanding task, but one which can take good advantage of a parallel processing system. To this end, we describe proposals for, and preliminary findings of, research in implementing in programmable logic the decoder part of a speech recognition system. Recognition via Viterbi decoding of Hidden Markov Models is outlined, along with details of current implementations, which aim to exploit properties of the algorithm that could make it well-suited for devices such as FPGAs. The question of how to deal with limited resources, by reconfiguration or otherwise, is also addressed.