A previously proposed optical crossbar interconnected signal processor is reviewed for application to speech recognition. A traditional recognition approach is described that uses: linear prediction, dynamic time warping, and parsing. A wait-and-see rule based parser is used. The major parts Of the system are implemented on the optical processor and show that high performance should be achievable for large vocabularies. Further, hidden Markov models for exploiting temporal relations in establishing word and sentence hypotheses, also appear to be efficiently implementable on the processor. Methods for recognizing phonemes in 2-D spectrograms are also expected to lend themselves to optical processing.
Alastair D. McAulay,
"Speech Recognition With An Optical Crossbar Interconnected Signal Processor", Proc. SPIE 0698, Real-Time Signal Processing IX, (23 March 1986); doi: 10.1117/12.976262; https://doi.org/10.1117/12.976262