Parallel algorithms for automatic speech recognition
Y. Arriola, R.A. Carrasco · 1990
In the research, neural nets, or to be more precise, multilayer perceptrons (MLP), are used for the nonlinear phonetic mapping of the acoustic features. These phonetic outputs are used, subsequently, for the final probabilistic computation of the hidden Markov models (HMM). The speech recognition system was implemented and tested on real speech, low-pass filtered with a cut-off frequency of 3.8 kHz, and sampled at 8 kHz.