Multi-context conversational environment system and method
a conversation environment and multi-context technology, applied in the field of speech recognition, can solve the problems of lost navigation through the system so far, and achieve the effect of facilitating development and maintenan
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[0013] Speech recognition systems have been developed in many parts of the world and, although it is difficult to describe a standard recognition system architecture, some characteristics are shared between many of them. A typical speech recognition system, of the type depicted in FIG. 1, generally comprises a device such as a microphone or telephone set 101 that converts a spoken utterance into an electric signal and transmits the signal to a speech recognition unit 100. The speech recognition unit 100 can be split into two functional blocks: a processing unit 102 and a search unit 104. The processing unit 102 is an acoustic processor that performs the segmentation, the normalization, and the parameterization of the input signal waveform. In some cases, especially for connected word speech, this stage may also include a feature extraction operation. The search unit 104 includes a speech recognition dictionary that is scored in order to find possible matches to the spoken ...
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