Samsung electronics co., ltd. (20240185850). SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION
Organization Name
Inventor(s)
Rakshith Sharma Srinivasa of Sunnyvale CA (US)
Yashas Malur Saidutta of Menlo Park CA (US)
Ching-Hua Lee of Mountain View CA (US)
Chou-Chang Yang of San Jose CA (US)
Yilin Shen of San Jose CA (US)
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 20240185850 titled 'SYSTEM AND METHOD FOR KEYWORD FALSE ALARM REDUCTION
Simplified Explanation
The patent application describes a method for detecting keywords in audio data using a multi-layered keyword detection model.
- The method involves extracting audio features from audio data using a keyword detection model.
- The audio features are processed by different layers of the keyword detection model to predict the likelihood of speech, keyword-like speech, and specific keywords being present in the audio data.
- The method identifies keywords included in the audio data and generates instructions to perform an action based on the identified keyword.
Potential Applications
This technology could be applied in speech recognition systems, voice-controlled devices, and audio content analysis tools.
Problems Solved
This technology helps in accurately detecting keywords in audio data, which can improve the performance of speech recognition systems and enhance user experience in voice-controlled devices.
Benefits
The method offers a more efficient and accurate way to detect keywords in audio data, leading to better performance in various applications such as speech recognition and content analysis.
Potential Commercial Applications
"Enhancing Audio Data Analysis with Multi-layered Keyword Detection Model"
Possible Prior Art
One possible prior art could be the use of deep learning models for speech recognition and keyword detection in audio data.
What are the limitations of the proposed method in detecting keywords in audio data?
The proposed method may face challenges in accurately detecting keywords in noisy audio environments or when multiple speakers are present in the audio data.
How does the multi-layered keyword detection model compare to existing keyword detection methods in terms of accuracy and efficiency?
The multi-layered keyword detection model may offer improved accuracy in detecting keywords compared to traditional keyword detection methods, but its efficiency in real-time applications needs to be evaluated further.
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.
