Qualcomm incorporated (20240127827). MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS simplified abstract

MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS

Organization Name

qualcomm incorporated

Inventor(s)

Stephane Villette of San Diego CA (US)

Sen Li of San Diego CA (US)

Pravin Kumar Ramadas of San Diego CA (US)

Daniel Jared Sinder of San Diego CA (US)

MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240127827 titled 'MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS

Simplified Explanation

The patent application describes systems and techniques for encoding and/or decoding audio information. A process is used to generate a representation of an input audio segment, compare it to stored representations, determine target representations of target audio segments, and packetize and transmit indices associated with the target audio segments for decoding.

• Systems and techniques for encoding and decoding audio information
• Process to generate representations of audio segments and compare them to stored representations
• Determination of target representations of target audio segments
• Packetization and transmission of indices associated with target audio segments for decoding

Potential Applications

The technology described in the patent application could be applied in various fields such as:

• Audio recognition and identification systems
• Audio compression and transmission technologies
• Audio fingerprinting for copyright protection

Problems Solved

The technology addresses the following issues:

• Efficient encoding and decoding of audio information
• Accurate identification of target audio segments
• Reliable transmission of audio indices for decoding

Benefits

The technology offers the following benefits:

• Improved audio processing and analysis capabilities
• Enhanced audio data compression and transmission efficiency
• Secure and reliable audio information exchange

Potential Commercial Applications

The technology could be commercially applied in:

• Music streaming services
• Voice recognition systems
• Audio surveillance and monitoring technologies

Possible Prior Art

One possible prior art in this field is the use of audio fingerprinting technology for identifying and matching audio content, which has been utilized in various applications such as music recognition software and copyright protection systems.

How does this technology compare to existing audio encoding and decoding methods?

The article does not provide a direct comparison with existing audio encoding and decoding methods, leaving the reader to wonder about the specific advantages and differences of this technology.

What are the potential limitations or challenges of implementing this technology in real-world applications?

The article does not address the potential limitations or challenges that may arise when implementing this technology in practical scenarios, leaving room for speculation on the feasibility and scalability of the proposed systems and techniques.

Original Abstract Submitted

systems and techniques are described herein for encoding and/or decoding audio information. for example, a process can process an input audio segment to generate a representation of the input audio segment, and can compare the representation of the input audio segment to representations stored in a memory. the representations represent a plurality of audio segments. the process can determine, based on the comparison, target representation(s) of target audio segment(s) from the representations stored in the memory. the process can determine one or more indices associated with the target audio segment(s). the process can then packetize the one or more indices and transmit the one or more packetized indices (e.g., to a decoder configured to decode the packetized indices).