Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Speech Recognition Using HMMs with Quantized Parameters

Marcel Vasilache

Speech and Audio Systems Laboratory, Nokia Research Center, Tampere, Finland

In this paper we describe the structure and examine the performance of a recognition engine based on hidden Markov models (HMMs) with quantized parameters (qHMM). The main goal of qHMMs is to enable a low complexity implementation without sacrificing the classification performance. In the tests with a whole word digit dialler engine and a phoneme based isolated word recognizer we managed to preserve the performance of unquantized HMMs with qHMMs having as little as 5 bit for a mean component and 3 bit for a variance component.


Full Paper

Bibliographic reference.  Vasilache, Marcel (2000): "Speech recognition using HMMs with quantized parameters", In ICSLP-2000, vol.1, 441-444.