Abstract
Facilities which make spectrograms immediately available for visual comparison, easy modification of spectral data, and resynthesis of speech have proved to be particularly useful tools in speech research. This paper reports an experiment in which such an interactive research tool—a Digital Pattern Playback (DPP)—is being used to evaluate a spectrum-matching and dictionary-search technique for speech recognition. The DPP is a computer-supported analysis-synthesis facility which, in the present experiment, displays spectrograms of “unknown” sentences so that an analyst can list the important acoustic features of marked segments of the unknown sentence. Interrogation of a feature-based dictionary then recovers all items with features which match the unknown segment. If necessary, additional features may be assigned to narrow the search. The reference spectrograms retrieved from the dictionary are compared, one at a time, with the spectrogram of the unknown sentence and the best match is selected for each unknown segment. Instrumentation, strategies, and factors governing the efficiency of the algorithms for feature-selection and spectrogram-matching will be discussed. [Work supported by NSF and ARPA, Department of Defense.]
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