Tencent Technology (Shenzhen) Company Limited (20240212706). AUDIO DATA PROCESSING simplified abstract
Contents
AUDIO DATA PROCESSING
Organization Name
Tencent Technology (Shenzhen) Company Limited
Inventor(s)
AUDIO DATA PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212706 titled 'AUDIO DATA PROCESSING
The method described in the abstract involves processing media by extracting audio track data related to a signal source type from audio data, allocating weight values to data segments, extracting audio features, encoding them to obtain attention parameters, fusing them with weight values to obtain fusion parameters, and determining recommendation parameters.
- Extraction of audio track data for a signal source type from audio data
- Allocation of weight values to data segments in the audio data
- Extraction of audio features from data segments
- Encoding of audio features to obtain attention parameters
- Fusion of attention parameters and weight values to obtain fusion parameters
- Determination of recommendation parameters based on the above processes
Potential Applications: - Audio content analysis - Signal source identification - Media recommendation systems
Problems Solved: - Efficient extraction and processing of audio data - Improved signal source identification - Enhanced media recommendation algorithms
Benefits: - Enhanced audio processing capabilities - Improved accuracy in signal source identification - Personalized media recommendations
Commercial Applications: Title: Advanced Media Processing Technology for Audio Analysis and Recommendation Systems Description: This technology can be utilized in audio analysis software, media recommendation platforms, and content streaming services to enhance user experience and provide more accurate recommendations based on audio content analysis.
Prior Art: Researchers can explore existing patents related to audio processing, signal source identification, and media recommendation systems to understand the prior art in this field.
Frequently Updated Research: Researchers in the field of audio processing and recommendation systems are constantly working on improving algorithms for better signal source identification and personalized recommendations. Stay updated on the latest advancements in this area for cutting-edge applications.
Questions about Media Processing Technology: 1. How does this technology improve the accuracy of signal source identification in audio data? 2. What are the potential challenges in implementing this advanced media processing method in real-world applications?
Original Abstract Submitted
a method of media processing includes extracting audio track data for at least a signal source type from audio data. the audio data includes multiple data segments, the audio track data includes at least a time period that is determined to be related to the signal source type. the method further includes allocating weight values respectively to the data segments in the audio data according to the audio track data, concatenating the weight values to form a weight value sequence of the audio data, extracting audio features respectively from the data segments, concatenating the audio features of the data segments to form an audio feature sequence of the audio data, encoding the audio feature sequence to obtain an attention parameter sequence of the audio data, fusing the attention parameter sequence and the weight value sequence to obtain fusion parameters respectively for the data segments, and determining recommendation parameters accordingly.
