GOOGLE LLC (20240296835). BACKGROUND AUDIO IDENTIFICATION FOR SPEECH DISAMBIGUATION simplified abstract
Contents
BACKGROUND AUDIO IDENTIFICATION FOR SPEECH DISAMBIGUATION
Organization Name
Inventor(s)
Jason Sanders of New York NY (US)
Gabriel Taubman of Brooklyn NY (US)
John J. Lee of Long Island City NY (US)
BACKGROUND AUDIO IDENTIFICATION FOR SPEECH DISAMBIGUATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296835 titled 'BACKGROUND AUDIO IDENTIFICATION FOR SPEECH DISAMBIGUATION
The patent application describes a method for providing context-dependent search results based on an audio stream received by a computing device.
- The method involves separating the audio stream into user speech data and background audio.
- Concepts related to the background audio are identified, and a set of terms related to these concepts is generated.
- The speech recognizer is influenced based on the terms related to the background audio to obtain a recognized version of the user speech data.
Potential Applications: - This technology could be used in voice-controlled search engines to improve the accuracy of search results based on background audio. - It could also be applied in virtual assistants to enhance their understanding of user commands in noisy environments.
Problems Solved: - This technology addresses the challenge of providing relevant search results in noisy or complex audio environments. - It helps improve the accuracy of speech recognition systems by considering background audio context.
Benefits: - Enhanced user experience in voice-controlled applications. - Improved search result relevance in various audio environments.
Commercial Applications: "Context-Dependent Search Results Technology for Voice-Controlled Devices: Enhancing User Experience and Search Accuracy in Noisy Environments"
Questions about Context-Dependent Search Results Technology: 1. How does this technology improve the accuracy of speech recognition systems in noisy environments? - This technology improves accuracy by considering background audio context, which helps the speech recognizer better understand user speech data.
2. What are the potential applications of this technology beyond voice-controlled search engines? - This technology could also be applied in virtual assistants to enhance their understanding of user commands in various audio environments.
Original Abstract Submitted
implementations relate to techniques for providing context-dependent search results. a computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.
