Tone based speech recognition
AssigneeMotorola, Inc.
InventorsYaxin Zhang, Jianming Song, Anton Madievski
Life of this patent
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Abstract
A method and apparatus for speech recognition involves classifying (38) a digitized speech segment according to whether the speech segment comprises voiced or unvoiced speech and utilizing that classification to generate tonal feature vectors (41) of the speech segment when the speech is voiced. The tonal feature vectors are then combined (42) with other non-tonal feature vectors (40) to provide speech feature vectors. The speech feature vectors are compared (35) with previously stored models of speech feature vectors (37) for different segments of speech to determine which previously stored model is a most likely match for the segment to be recognized.
Claims17
A system for speech recognition comprising:
- an input terminal for receiving a segment of speech;
- a speech classifier having an input coupled to the input terminal and an output to provide an indication of whether the speech segment comprises voiced or unvoiced speech;
- a speech feature detector having a first input coupled to the input terminal, a second input coupled to the output of the of the speech classifier, and an output to provide a speech feature vector having a plurality of feature values indicating features of the speech segment, the speech feature vector including at least a tonal feature value indicating a tonal feature of the speech segment when the speech segment comprises voiced speech;
- and
- a speech recogniser having an input coupled to the output of the speech feature detector and an output to provide an indication of which of a predetermined plurality of speech models is a good match to the speech segment.
A method of speech recognition comprising the steps of:
- receiving a segment of speech;
- classifying the speech segment according to whether the speech segment comprises voiced or unvoiced speech;
- detecting a plurality of speech features of the segment of speech;
- generating a speech feature vector having a plurality of feature values indicating the detected plurality of features of the speech segment, wherein the speech feature vector includes at least a tonal feature value indicating a tonal feature of the speech segment when the speech segment comprises voiced speech;
- and
- utilising the speech vector to determine which of a predetermined plurality of speech models is a good match to the speech segment.
Dependencies are inferred from the claim text.