Title :
Real time implementation of HMM speech recognition for telecommunications applications
Author :
Flaherty, Michael J. ; Sidney, Todd
Author_Institution :
Telecom Australia Res. Labs., Melbourne, Vic., Australia
Abstract :
This paper describes an implementation of connected word recognition using commercially available parallel processing DSPs. The recognition system uses continuous density HMMs for speaker independent recognition over a public switched network. It describes how the computationally intensive functions can be optimised for efficient real time implementation. Results of recognition accuracy are presented for a difficult task of connected digit recognition with data from a live operator environment and an isolated digit recognition task
Keywords :
digital signal processing chips; hidden Markov models; parallel processing; real-time systems; speech recognition; speech recognition equipment; switching networks; telecommunication computing; telecommunication networks; HMM speech recognition; connected word recognition; continuous density HMM; isolated digit recognition task; operator environment; parallel processing DSP; public switched network; real time implementation; recognition accuracy; speaker independent recognition; speech recognition system; telecommunications applications; Cepstral analysis; Digital signal processing; Feature extraction; Hidden Markov models; Linear predictive coding; Parallel processing; Signal processing algorithms; Speech recognition; Telecommunication control; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389919