Qualcomm incorporated (20240127809). MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS simplified abstract
Contents
- 1 MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS
Organization Name
Inventor(s)
Stephane Villette of San Diego CA (US)
Daniel Jared Sinder of San Diego CA (US)
MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127809 titled 'MEDIA SEGMENT REPRESENTATION USING FIXED WEIGHTS
Simplified Explanation
The patent application describes a device that stores sets of weights representing media segments and generates estimates of associated media segments based on input speech segments.
- The device includes a memory storing sets of weights representing media segments.
- One or more processors generate data representing input speech segments and pass it into memory units containing sets of weights.
- The processors generate estimates of associated media segments corresponding to the input speech segments.
Potential Applications
This technology could be applied in speech recognition systems, content recommendation algorithms, and personalized advertising platforms.
Problems Solved
This technology helps improve the accuracy and efficiency of media segment identification based on input speech segments.
Benefits
The device can enhance user experience by providing more relevant and personalized media content recommendations.
Potential Commercial Applications
Potential commercial applications include smart speakers, streaming services, and digital marketing platforms.
Possible Prior Art
One possible prior art could be speech-to-text technology used in various applications such as virtual assistants and transcription services.
Unanswered Questions
How does the device handle variations in speech patterns and accents?
The patent application does not provide specific details on how the device adapts to different speech patterns and accents to ensure accurate media segment identification.
What is the computational complexity of the algorithms used in generating estimates of associated media segments?
The patent application does not discuss the computational resources required for generating estimates of associated media segments, which could impact the device's real-time performance.
Original Abstract Submitted
a device includes a memory configured to store a collection of sets of weights, each of the sets of weights representing a respective media segment. the device also includes one or more processors configured to generate data representing the detected first input speech segment and to pass the data representing the detected first input speech segment into a collection of memory units. each memory unit of the collection of memory units includes a set of weights from the collection of sets of weights. the one or more processors are also configured to generate a first estimate of an associated media segment that represents the detected first input speech segment. the associated media segment corresponds to a first memory unit in the collection of memory units.
