18389033. AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE simplified abstract (Google LLC)
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 18389033 titled 'AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE
Abstract: 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.
- Key Features and Innovation:**
- Determining language for speech recognition without user input - Multilingual interaction with automated assistant - Selection of speech recognition model based on interaction characteristics
- Potential Applications:**
This technology can be applied in: - Automated customer service systems - Language learning applications - Multilingual virtual assistants
- Problems Solved:**
- Eliminates the need for users to specify language for each interaction - Enhances user experience with automated assistants - Improves accuracy of speech recognition in multilingual environments
- Benefits:**
- Seamless multilingual interaction - Enhanced user convenience - Improved efficiency in automated assistant interactions
- Commercial Applications:**
This technology can be utilized in various industries such as customer service, education, and technology to enhance multilingual communication with automated systems.
- Prior Art:**
Prior research in speech recognition and language processing technologies may provide insights into similar approaches to multilingual interaction with automated assistants.
- Frequently Updated Research:**
Stay updated on advancements in speech recognition technologies and multilingual interaction methods to enhance the capabilities of automated assistants.
- Questions about Multilingual Speech Recognition:**
1. How does this technology improve user experience with automated assistants? 2. What are the potential challenges in implementing multilingual speech recognition in automated systems?
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.
