20240038258. AUDIO CONTENT IDENTIFICATION simplified abstract (Dolby Laboratories Licensing Corporation)
Contents
AUDIO CONTENT IDENTIFICATION
Organization Name
Dolby Laboratories Licensing Corporation
Inventor(s)
AUDIO CONTENT IDENTIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240038258 titled 'AUDIO CONTENT IDENTIFICATION
Simplified Explanation
The abstract of the patent application describes a method of audio content identification using a two-stage classifier. The first stage consists of existing classifiers, while the second stage includes a new classifier. The outputs of both stages, calculated over different time periods, are combined to generate a steering signal. The final classification results are obtained by combining the steering signal with the outputs of the first and second stages. This approach allows for the addition of a new classifier without disrupting the existing ones.
- The method involves a two-stage classifier for audio content identification.
- The first stage includes previously-existing classifiers, while the second stage includes a new classifier.
- The outputs of the first and second stages, calculated over different time periods, are combined to generate a steering signal.
- The final classification results are obtained by combining the steering signal with the outputs of the first and second stages.
- This method allows for the addition of a new classifier without disrupting the existing classifiers.
Potential Applications:
- Audio content identification in music streaming platforms.
- Copyright infringement detection in online platforms.
- Speech recognition and transcription services.
- Audio fingerprinting for content recognition in broadcasting.
Problems Solved:
- Efficient and accurate audio content identification.
- Integration of new classifiers without disrupting existing ones.
- Improved classification results by combining outputs from multiple classifiers.
Benefits:
- Enhanced accuracy in audio content identification.
- Flexibility to add new classifiers for improved performance.
- Efficient and scalable method for large-scale audio content identification.
- Reliable copyright infringement detection and protection of intellectual property.
Original Abstract Submitted
a method of audio content identification includes using a two-stage classifier. the first stage includes previously-existing classifiers and the second stage includes a new classifier. the outputs of the first and second stages calculated over different time periods are combined to generate a steering signal. the final classification results from a combination of the steering signal and the outputs of the first and second stages. in this manner, a new classifier may be added without disrupting existing classifiers.
