View source for 18352601. SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Rakshith Sharma Srinivasa of Sunnyvale CA (US)|Rakshith Sharma Srinivasa of Sunnyvale CA (US)]][[Category:Rakshith Sharma Srinivasa of Sunnyvale CA (US)]]

[[:Category:Yashas Malur Saidutta of Menlo Park CA (US)|Yashas Malur Saidutta of Menlo Park CA (US)]][[Category:Yashas Malur Saidutta of Menlo Park CA (US)]]

[[:Category:Ching-Hua Lee of Mountain View CA (US)|Ching-Hua Lee of Mountain View CA (US)]][[Category:Ching-Hua Lee of Mountain View CA (US)]]

[[:Category:Chou-Chang Yang of San Jose CA (US)|Chou-Chang Yang of San Jose CA (US)]][[Category:Chou-Chang Yang of San Jose CA (US)]]

[[:Category:Yilin Shen of San Jose CA (US)|Yilin Shen of San Jose CA (US)]][[Category:Yilin Shen of San Jose CA (US)]]

[[:Category:Hongxia Jin of San Jose CA (US)|Hongxia Jin of San Jose CA (US)]][[Category:Hongxia Jin of San Jose CA (US)]]

==SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18352601 titled 'SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION

==Simplified Explanation==
The patent application describes a method that uses a keyword detection model to analyze audio data and identify specific keywords within the data.

* The method extracts audio features from the audio data using the keyword detection model.
* It processes the audio features through multiple layers of the model to predict the likelihood of speech and the presence of keyword-like speech.
* The model then predicts the likelihood of specific keywords being present in the audio data.
* Based on the identified keyword, the method generates instructions to perform an action.

==Key Features and Innovation==
* Utilizes a keyword detection model to analyze audio data.
* Predicts the likelihood of speech and specific keywords within the data.
* Generates instructions based on the identified keyword.

==Potential Applications==
This technology can be used in:
* Voice recognition systems
* Speech-to-text applications
* Keyword-based audio search engines

==Problems Solved==
* Efficiently identifying keywords in audio data
* Improving accuracy in speech recognition systems

==Benefits==
* Enhanced keyword detection in audio data
* Improved performance of voice recognition systems

==Commercial Applications==
* "Keyword-Based Audio Data Analysis for Enhanced Voice Recognition Systems"

==Prior Art==
Information on prior art related to this technology is not provided.

==Frequently Updated Research==
There is no information on frequently updated research relevant to this technology.

==Questions about Keyword Detection in Audio Data==
===Question 1===
How does the keyword detection model process audio features to predict the presence of specific keywords?

The keyword detection model processes audio features through multiple layers to predict the likelihood of speech, keyword-like speech, and specific keywords within the data.

===Question 2===
What are the potential applications of this technology beyond voice recognition systems?

This technology can also be applied in speech-to-text applications and keyword-based audio search engines, enhancing the efficiency and accuracy of these systems.


==Original Abstract Submitted==

A method includes extracting, using a keyword detection model, audio features from audio data. The method also includes processing the audio features by a first layer of the keyword detection model configured to predict a first likelihood that the audio data includes speech. The method also includes processing the audio features by a second layer of the keyword detection model configured to predict a second likelihood that the audio data includes keyword-like speech. The method also includes processing the audio features by a third layer of the keyword detection model configured to predict a third likelihood, for each of a plurality of possible keywords, that the audio data includes the keyword. The method also includes identifying a keyword included in the audio data. The method also includes generating instructions to perform an action based at least in part on the identified keyword.



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