Emotion Detection Device and Method for Use in Distributed Systems

  • US 20100036660A1
  • Filed: 10/14/2009
  • Published: 02/11/2010
  • Est. Priority Date: 12/03/2004
  • Status: Active Grant
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First Claim
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1. In a method for performing real-time continuous speech recognition distributed across a client device and a server device, and which transfers speech data from an utterance to be recognized using a packet stream of extracted acoustic feature data including at least some cepstral coefficients, the improvement comprising:

  • extracting prosodic features at the client device from the utterance to generate extracted prosodic data;

    transferring said extracted prosodic data with said extracted acoustic feature data to the server device;

    recognizing words spoken continuously in said utterance at said server device based on said extracted acoustic feature data; and

    recognizing an emotion state of a speaker of the utterance at said server device based on at least said extracted prosodic data;

    wherein operations associated with recognition of prosodic features as well as words in the utterance are distributed across the client device and server device, such that a first set of prosodic recognition operations take place at the client device, and a second set of prosodic recognition operations take place at the server device to recognize said emotion state; and

    wherein said prosodic data and acoustic feature data are transmitted using different priorities.

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