Speech recognition and cloud search engine technology based man-machine interactive system and method

Abstract

The invention relates to a speech recognition and cloud search engine technology based man-machine interactive system and method. The system comprises an MIC interface, a speech receiving module, a key processing module, an infrared processing module, a storage module, a wireless emitting module, a power management module and a main processing chip, wherein the MIC interface, the speech receiving module, the key processing module, the infrared processing module, the storage module, the wireless emitting module and the power management module are all connected with the main processing chip. By the system and method, the original defect of complexity of manual input based on a remote controller is changed, and speech input can be performed directly; users can know TV shopping actively in stead of passively in the past, the feature that the users are uninterested in shopping in the past is changed, and interaction of participation of the users is improved.

Description

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AI Technical Summary

Benefits of technology

This patented innovation improves upon existing systems where customers have had their own phone numbers manually entered into them when searching products over internet websites. It uses speech recognition technology and Cloud Shocking Technology to identify specific words from spoken commands without requiring long interactions. Additionally, there has been developed a virtual world called Amazon Video Games ("MVG") - these games allow people who don't like buying things to participate freely within themselves while still having access to relevant content. Overall, this improved communication experience makes transactions faster and easier than traditional methods such as email correspondence.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving automatic speech recognizers called ASCR™ from spoken words during conversational phone calls made over internet networks like web servers. These devices work together when speaking certain phrases at once - they learn how to accurately identify specific sounds patterns within these phrase segments. However, current techniques require manual tunings and adjustment after every call session, making them difficult to implement across domains due to differences among speaker styles and languages.

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