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Speed identification conversation device

A speech recognition and speech technology, applied in speech recognition, speech analysis, speech synthesis, etc., can solve the problem of not being able to respond and answer changes in the state and environment, and achieve the effect of more substantial content.

Inactive Publication Date: 2004-07-28
SEIKO EPSON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the existing stuffed toys such as conversations and actions based on the results of this speech recognition, there are many cases of erroneous recognition of the speaker's utterances. Generally, even if words and sentences are correctly recognized, it cannot respond to and respond to changes in the environment
[0005] These days, even a toy is required to be able to perform difficult actions. For example, if children say "Good morning" to a doll and just answer "Good morning" regardless of the time, the children will get bored

Method used

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Examples

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no. 1 Embodiment

[0049] In this first embodiment, the weighting coefficient is set corresponding to the value of the recognition data of the pre-registered recognition target voice and the value of the change data (time, temperature, weather, date, etc.) that affects the content of the conversation. When the greeting sentence is input It is desired to improve the recognition rate of the greeting sentence. Fig. 1 is a structural diagram illustrating a first embodiment of the present invention. Its structure is briefly explained first, and then each detailed function is explained. In this first embodiment, time is used as an example of change data that affects the content of the conversation.

[0050] In Fig. 1, the interior of the cloth toy dog ​​30 is provided with a microphone 1, a speech analysis unit 2, a clock unit 3, a coefficient setting unit 4, a speech recognition unit 5, a speech synthesis unit 6, a drive control unit 7, a loudspeaker 8 and a power supply unit 9 etc. The microphone...

no. 2 Embodiment

[0075] Refer below figure 2 A second embodiment of the present invention will be described. figure 2 The cloth toy dog ​​30 and the operating mechanism 10 etc. which make the mouth of the cloth toy move are omitted. figure 2 The difference between the structure of FIG. 1 and that of FIG. 1 is that a memory 21 is provided for storing the weighting coefficients of each recognizable sentence corresponding to the time data set by the coefficient setting part 4. Other components are the same as in FIG. 1, so the same Parts are marked with the same symbol. In addition, processing between the memory 21 and the coefficient setting unit 4 will be described later.

[0076] exist figure 2 Among them, the voice input from the microphone is analyzed by the voice analysis unit 2 to generate a voice data pattern corresponding to the feature value of the input voice. This speech data pattern is input to the input part of the neural network provided in advance in the speech recognition par...

no. 3 Embodiment

[0090] Refer below image 3 A third embodiment of the present invention will be described. image 3 The cloth toy dog ​​30 and the operating mechanism 10 etc. which make the mouth of the cloth toy move are omitted. The configuration of the third embodiment includes a microphone 1, a speech analysis unit 2, a clock unit 3, a speech recognition unit 5, a speech synthesis unit 6, a drive control unit 7, a speaker 8, a power supply unit 9, and the like. The microphone 1 inputs voice from the outside, the voice analysis unit 2 analyzes the voice input from the microphone 1, and produces a voice data pattern corresponding to the voice feature value, the clock unit 3 outputs time data, and the voice recognition unit 5 outputs the time data according to the voice output from the above-mentioned voice analysis unit 2. Voice data mode output to the recognition data of above-mentioned input voice, speech synthesis part 6 is based on the recognition data output from this speech recogniti...

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Abstract

The invention improves recognition rates by providing an interactive speech recognition device that performs recognition by taking situational and environmental changes into consideration, thus enabling interactions that correspond to situational and environmental changes. The invention comprises a speech analysis unit; a timing circuit; a coefficient setting unit; a speech recognition unit that that recognizes the input speech based on the computed final recognition result; a speech synthesis unit for outputting speech synthesis data based on the recognition data that takes the weighting coefficient into consideration; and a drive control unit for transmitting the output from the speech synthesis unit to the outside.

Description

[0001] This application is a divisional application of application number 96104209.5. The filing date of the parent application is February 29, 1996. The earlier application is JP95-42005, and the earlier filing date is March 1, 1995. technical field [0002] The invention relates to a voice recognition dialog device for recognizing voice and performing utterance and specific action corresponding to the recognition result. Background technique [0003] An example of such a speech recognition dialogue device is a speech recognition toy. For example, in the voice recognition toy disclosed in Japanese Patent Laying-Open No. 6-142342, a plurality of instruction words constituting voice commands are pre-registered as recognition target voices, and the voice signals sent by children using the toy game are compared with the registered voice signals. When the two voice signals are consistent, the electrical signal specified for the voice command is output, and based on this, the toy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63H3/33A63H5/00A63H13/02A63H30/02G10L13/00G10L13/02G10L13/027G10L13/04G10L13/08G10L15/00G10L15/18G10L15/22G10L15/24G10L15/26
CPCG10L15/26G10L13/043A63H2200/00G10L15/265G10L13/00G10L2015/226G10L15/22G10L15/00
Inventor 枝常伊佐央
Owner SEIKO EPSON CORP