Google llc (20240194191). AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE simplified abstract
AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE
Organization Name
Inventor(s)
Pu-sen Chao of Los Altos CA (US)
Diego Melendo Casado of Mountain View CA (US)
Ignacio Lopez Moreno of New York NY (US)
AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240194191 titled 'AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE
Simplified Explanation: The patent application relates to determining the language for speech recognition of a spoken utterance received via an automated assistant interface, enabling multilingual interaction without the need for explicit language designation by the user.
- Automated system for speech recognition in multiple languages
- Selection of speech recognition model based on interaction characteristics
- Anticipated user input types and durations influence language selection
- Monitoring duration for user response and actual response duration are considered
Potential Applications: This technology can be applied in automated customer service systems, language learning applications, and multilingual virtual assistants.
Problems Solved: Eliminates the need for users to manually select the language for each interaction, streamlining the communication process with automated assistants.
Benefits: Enhanced user experience, improved efficiency in multilingual interactions, and increased accessibility for non-native speakers.
Commercial Applications: "Enhancing Multilingual User Interaction in Automated Systems: Market Implications"
Prior Art: Prior research in speech recognition systems, language processing algorithms, and multilingual communication technologies can provide insights into related work in this field.
Frequently Updated Research: Stay updated on advancements in speech recognition technology, language processing algorithms, and user interaction studies to enhance the effectiveness of this innovation.
Questions about Language Selection in Speech Recognition: 1. How does the system determine the appropriate speech recognition model for a specific language? 2. What factors influence the selection of the language for speech recognition in automated interactions?
Original Abstract Submitted
implementations relate to determining a language for speech recognition of a spoken utterance, received via an automated assistant interface, for interacting with an automated assistant. implementations can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. selection of a speech recognition model for a particular language can based on one or more interaction characteristics exhibited during a dialog session between a user and an automated assistant. such interaction characteristics can include anticipated user input types, anticipated user input durations, a duration for monitoring for a user response, and/or an actual duration of a provided user response.
