Title :
An analog integrated speech front-end based on the auditory periphery
Author :
Liu, Weimin ; Andreou, Andreas G. ; Goldstein, Moise H., Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
The authors present an analog CMOS integrated circuit realization of an auditory periphery model which includes the middle ear, the basilar membrane, and the hair cells/synapses. With speech input, the pattern of the multichannel outputs resembles the neurogram of the auditory nerve fibers, i.e. the time-varying instantaneous firing rates of fibers having different characteristic frequencies. This real-time low-power-dissipation speech preprocessor can be used as the front-end to practical speech processing and recognition systems
Keywords :
CMOS integrated circuits; neural nets; speech analysis and processing; speech recognition; CMOS integrated circuit realization; analog integrated speech front-end; auditory periphery; basilar membrane; hair cells; middle ear; multichannel outputs; neurogram; speech preprocessor; speech recognition; synapses; time-varying instantaneous firing rates; Biomembranes; CMOS analog integrated circuits; Ear; Frequency; Hair; Integrated circuit modeling; Nerve fibers; Real time systems; Semiconductor device modeling; Speech processing;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155447
