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Intelligent housing voice interaction system

A voice interaction system, smart home technology, applied in voice analysis, transmission system, voice recognition and other directions, can solve the problem of smart home application scenario limitations, achieve simple and intelligent human-computer interaction, reduce restrictions, and improve the effect of use occasions

Active Publication Date: 2017-05-31
常州百芝龙智慧科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps improve how we talk over long distances while still being able to hear each other's voices clearly through speech analysis techniques like automatic speech recognizers (ASR). It also allows users to separate conversations based on factors such as distance between them and background noise levels. By doing this, they don’t be forced into speaking too much for themselves but rather focus more towards what others want it most during our interactions. Overall, these technical improvements help make communication easier even across complicated situations by reducing interference from irrelevant sounds.

Problems solved by technology

The technical problem addressed by this patented technology relates how easily two or more individuals speaking simultanously can make mistakes when they have conversations on their own hands while also being able to distinguish between them without affecting each others' speeches.

Method used

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  • Intelligent housing voice interaction system

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Embodiment Construction

[0018] After the microphone array collects sound samples, it first performs signal noise reduction and multi-person voice separation. The strength of the sound source received by each microphone in the microphone array is combined with the 2D_MUSIC algorithm to estimate the number and orientation of the source, and then according to the orientation information, the weight vector of the signal received by each microphone is calculated according to MV_Bearnforning, and weighted processing is performed to form a beam. then follow figure 1 As shown, the sound beams are first clustered by location. For sound sources with discontinuities and different orientation information, perform voiceprint similarity clustering. The system regards the sound source signals clustered into the same category as the voice information of the same person. So far, the separation of multiple voice sources and speaker recognition have been realized.

[0019] To complete the voice information of sound ...

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Abstract

The invention provides an intelligent housing voice interaction system. A method comprises the following steps: A1, collecting a voice sample by adopting a microphone array, and carrying out signal noise reduction and voice detection; A2, if the voice sample contains voice signals, estimating the number and orientation of a signal source by adopting a 2D_MUSIC algorithm; A3, according to the orientation of the signal source, calculating the weight vector of the signals according to MV_Bearnforning, and carrying out weighting processing, thus forming voice wave beams of the voice sample; A4, carrying out vocal print match with a voice wave beam series saved in the system, and if unsuccessful match exists, adding the voice wave beams with unsuccessful match into a series list; and A5, according to vocal print clustering, regularly aggregating the similar voice wave beams to the same voice signals, and thus the system recognizes the same voice signals as the voice of the same person.

Description

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Claims

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Application Information

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Owner 常州百芝龙智慧科技有限公司
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