18326261. SOUND SEARCH simplified abstract (QUALCOMM Incorporated)

SOUND SEARCH

Organization Name

QUALCOMM Incorporated

Inventor(s)

Rehana Mahfuz of San Diego CA (US)

Yinyi Guo of San Diego CA (US)

Erik Visser of San Diego CA (US)

SOUND SEARCH - A simplified explanation of the abstract

This abstract first appeared for US patent application 18326261 titled 'SOUND SEARCH

Simplified Explanation

The device described in the patent application is capable of generating query caption embeddings based on a query, selecting caption embeddings from a set of media files, and generating search results based on the similarity between the query caption embeddings and the selected caption embeddings.

• The device includes processors that generate query caption embeddings based on a query.
• The processors select caption embeddings from a set of media files associated with a file repository.
• Each caption embedding represents a sound caption, which includes a natural-language text description of a sound.
• The selected caption embeddings are chosen based on a similarity metric indicating similarity with the query caption embeddings.
• The device generates search results identifying first media files associated with the selected caption embeddings.

Potential Applications

This technology could be applied in:

• Content recommendation systems
• Audio search engines
• Multimedia content organization tools

Problems Solved

This technology helps in:

• Improving search accuracy for sound-based queries
• Enhancing user experience in browsing and searching for media files

Benefits

The benefits of this technology include:

• Efficient retrieval of relevant media files based on sound descriptions
• Enhanced user engagement with multimedia content
• Streamlined organization and categorization of media files

Potential Commercial Applications

Optimized for SEO: Applications of this technology in various industries:

• Entertainment and media
• E-commerce platforms
• Educational platforms

Possible Prior Art

There may be prior art related to:

• Similar systems for generating and matching embeddings for multimedia content
• Existing technologies for audio search and retrieval systems

How does this technology handle variations in sound descriptions?

The technology's ability to accurately match query caption embeddings with a diverse set of caption embeddings from media files is not explicitly addressed in the abstract.

What is the computational efficiency of this technology in processing large sets of media files?

The abstract does not provide information on the scalability and computational performance of the device when dealing with a significant number of media files.

Original Abstract Submitted

A device includes one or more processors configured to generate one or more query caption embeddings based on a query. The processor(s) are further configured to select one or more caption embeddings from among a set of embeddings associated with a set of media files of a file repository. Each caption embedding represents a corresponding sound caption, and each sound caption includes a natural-language text description of a sound. The caption embedding(s) are selected based on a similarity metric indicative of similarity between the caption embedding(s) and the query caption embedding(s). The processor(s) are further configured to generate search results identifying one or more first media files of the set of media files. Each of the first media file(s) is associated with at least one of the caption embedding(s).