Portable digital mobile communication apparatus and voice control method and system thereof

A technology of mobile communication equipment and control method, applied in speech analysis, branch office equipment, speech recognition and other directions, can solve the problem of not having the function of user and mobile phone voice interaction, and achieve the effect of user-friendly interface
CN100403828CInactive Publication Date: 2008-07-16INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF ACOUSTICS CHINESE ACAD OF SCI
Publication Date
2008-07-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention discloses a portable digital mobile communication apparatus with voice operation system and controlling method of voice operation. The feature vector sequences of speech are quantify encoded when the speech is recognized, and in decoding operation, each code in efficiency speech character codes are directly looked up observation probability of on search path from the probability schedule in the decode operation. In association with the present invention, full syllabic speech recognition can be achieved in mobile telephone without the need of training, and input Chinese characters by speech and speech prompting with full syllable. This system comprises semantic analysis, dialogue management and language generation module, and it can also process complicated dialog procedure and feed flexible prompting message back to the user. The present invention can also customize speech command and prompting content by user.
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Description

technical field

[0001] The invention relates to a digital communication device and its control method and system, in particular to a portable digital mobile device that can be controlled by voice and its voice control method and system. Background technique

[0002] Speech recognition and synthesis technology has progressed very rapidly in the past ten years, especially in practical systems. After dozens of years of research accumulation and practical experience, the mainstream algorithms of the speech recognition system have approached unity in the fields of modeling, training, search, and self-adaptation, and most of them use statistics-based continuous probability density hidden Markov models and Viterbi search. In order to obtain a higher degree of naturalness, the speech synthesis system mostly adopts the method of waveform splicing and large-scale sound library, and improves the naturalness by finding the matching segment of the maximum length. The adoption of these m...

Claims

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