Speech Recognition through Spectrogram Matching,

摘要

In order to assess human analysis of acoustic data before attempting such analysis by machine, a series of experiments was conducted in which subjects were asked to match spectrograms of continuous speech to reference spectrograms of the same words. Although error rates varied with sentence difficulty and size of vocabulary, comparison of the matches shows greater agreement in phoneme segments than other experimenters have obtained in phonetic transcriptions of unknown utterances without semantic of syntactic processing. Accuracy in matching can be further improved by feedback to the human analyst in the form of spectrographic representation of a sequence of tentative matches spoken as if they made up the unknown utterance. The results suggest that automatic matching of word- or syllable-sized acoustic patterns may provide a more accurate phonemic input to the syntactic-semantic component of a speech recognition system than direct transcription of individual phonetic segments. (Author)