17454314. CONTEXTUAL SMART SWITCHING VIA MULTI-MODAL LEARNING MECHANISM simplified abstract (International Business Machines Corporation)
CONTEXTUAL SMART SWITCHING VIA MULTI-MODAL LEARNING MECHANISM
Organization Name
International Business Machines Corporation
Inventor(s)
Kunal Sawarkar of Franklin Park NJ (US)
Craig M. Trim of Ventura CA (US)
Shikhar Kwatra of San Jose CA (US)
CONTEXTUAL SMART SWITCHING VIA MULTI-MODAL LEARNING MECHANISM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17454314 titled 'CONTEXTUAL SMART SWITCHING VIA MULTI-MODAL LEARNING MECHANISM
Simplified Explanation
The present invention is a computer system that receives multimedia data and analyzes it to identify recognized patterns. It then calculates the probability of the presence of undesired content based on these patterns and takes action if the probability is above a certain threshold.
- Computer system receives multimedia data
- Multimedia data is parsed into an audio stream
- Audio stream is analyzed to identify recognized patterns
- Probability of undesired content is calculated based on recognized patterns
- Action is taken if probability is above a threshold
Potential Applications
This technology can be applied in various fields where the identification and filtering of undesired content is necessary. Some potential applications include:
- Content moderation in social media platforms
- Parental control systems for filtering inappropriate content
- Speech recognition systems for detecting offensive language
- Audio surveillance systems for identifying specific sounds or keywords
Problems Solved
The technology addresses the following problems:
- Difficulty in identifying and filtering undesired content in multimedia data
- Inefficient manual content moderation processes
- Lack of effective parental control systems for protecting children from inappropriate content
- Challenges in detecting offensive language or specific sounds in audio streams
Benefits
The use of this technology offers several benefits:
- Improved accuracy in identifying and filtering undesired content
- Automation of content moderation processes, saving time and resources
- Enhanced protection for children from accessing inappropriate content
- Efficient detection of offensive language or specific sounds in real-time audio streams
Original Abstract Submitted
The present invention may include a computer receives multimedia data. The computer parses the multimedia data into an audio stream. The computer analyzes the audio stream to identify recognized patterns. The computer calculates a probability of an undesired content based on the recognized patterns and taking an action based on determining the probability is above a threshold.
