Abstract
An approach to the problem of automatic speech recognition based on spectrogram reading is described. Firstly, the process of spectrogram reading by humans is discussed, and experimental findings presented which confirm that it is possible to learn to carry out such a process with some success. Secondly, a knowledge-engineering approach to the automation of the linguistic transcription of spectrograms is described and some results are presented. It is concluded that the approach described here offers the promise of progress towards the automatic recognition of multi-speaker continuous speech.
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