View source for 17502838. METHOD AND SYSTEM FOR DEVICE FEATURE ANALYSIS TO IMPROVE USER EXPERIENCE simplified abstract (Samsung Electronics Co., Ltd.)

=METHOD AND SYSTEM FOR DEVICE FEATURE ANALYSIS TO IMPROVE USER EXPERIENCE=


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Vijendra Raj Apsingekar of San Jose CA (US)|Vijendra Raj Apsingekar of San Jose CA (US)]][[Category:Vijendra Raj Apsingekar of San Jose CA (US)]]

[[:Category:Myungjong Kim of San Jose CA (US)|Myungjong Kim of San Jose CA (US)]][[Category:Myungjong Kim of San Jose CA (US)]]

[[:Category:Anil Yadav of Santa Clara CA (US)|Anil Yadav of Santa Clara CA (US)]][[Category:Anil Yadav of Santa Clara CA (US)]]

==METHOD AND SYSTEM FOR DEVICE FEATURE ANALYSIS TO IMPROVE USER EXPERIENCE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17502838 titled 'METHOD AND SYSTEM FOR DEVICE FEATURE ANALYSIS TO IMPROVE USER EXPERIENCE

==Simplified Explanation==

The patent application describes a method and system for improving audio recognition models using contextual information. Here is a simplified explanation of the abstract:

* The method starts by receiving an audio input that is not recognized by an existing audio recognition model.
* It then identifies contextual information related to the audio input.
* The method determines whether the contextual information matches the audio input.
* If there is a match, it triggers the training of a neural network associated with the audio recognition model.
* The training is based on both the contextual information and the audio input.

Potential applications of this technology:

* Improving speech recognition systems: The method can be used to enhance the accuracy and performance of speech recognition models by incorporating contextual information.
* Enhancing virtual assistants: Virtual assistants can benefit from this technology by better understanding user commands and providing more accurate responses.
* Improving voice-controlled devices: This method can help voice-controlled devices understand and respond to user commands more effectively.

Problems solved by this technology:

* Unrecognized audio inputs: The method addresses the issue of audio inputs that are not recognized by existing models, allowing for better accuracy and coverage.
* Contextual understanding: By incorporating contextual information, the method improves the ability to understand and interpret audio inputs correctly.

Benefits of this technology:

* Enhanced accuracy: By training the neural network with contextual information, the audio recognition model can achieve higher accuracy in recognizing audio inputs.
* Improved user experience: Users will benefit from more accurate and reliable speech recognition, leading to better interactions with voice-controlled systems.
* Adaptability: The method allows the audio recognition model to adapt and learn from new contextual information, improving its performance over time.


==Original Abstract Submitted==

A method and system are provided. The method includes receiving an audio input, in response to the audio input being unrecognized by an audio recognition model, identifying contextual information, determining whether the contextual information corresponds to the audio input, and in response to determining that the contextual information corresponds to the audio input, causing training of a neural network associated with the audio recognition model based on the contextual information and the audio input.



[[Category:G10L15/02]]
[[Category:G10L25/30]]
[[Category:G06F40/279]]
[[Category:G10L15/26]]