Amazon technologies, inc. (20240203412). ENTERPRISE TYPE MODELS FOR VOICE INTERFACES simplified abstract

ENTERPRISE TYPE MODELS FOR VOICE INTERFACES

Organization Name

amazon technologies, inc.

Inventor(s)

Austin Chang Ming Liu of Burnaby (CA)

Gonzalo Alvarez Barrio of Seattle WA (US)

Gregory James Wade of Coquitlam (CA)

Harsh Agarwal of Seattle WA (US)

Sam Anthony Sullivan of Lions Bay (CA)

Chieh Chien of Bellevue WA (US)

Cameron L Chinn of Seattle WA (US)

ENTERPRISE TYPE MODELS FOR VOICE INTERFACES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240203412 titled 'ENTERPRISE TYPE MODELS FOR VOICE INTERFACES

Simplified Explanation: The patent application describes systems and methods for creating and validating enterprise type pretrained models for voice interfaces. These models are customized based on the specific enterprise type in question and can be used to provide responses to user commands.

• Enterprise type pretrained models are generated and validated using input associated with the specific enterprise type.
• When a user command is received, the system checks for a customized model. If one is not available, it queries the enterprise type model to respond to the command.

Key Features and Innovation:

• Generation and validation of enterprise type pretrained models for voice interfaces.
• Customization of models based on the specific enterprise type.
• Ability to provide responses to user commands using the pretrained models.

Potential Applications: The technology can be applied in various industries such as customer service, healthcare, and finance to improve voice interface interactions.

Problems Solved: The technology addresses the need for customized pretrained models for different enterprise types to enhance user experience and efficiency in voice interface systems.

Benefits:

• Improved accuracy and relevance of responses to user commands.
• Enhanced user experience through customized models.
• Increased efficiency in voice interface systems.

Commercial Applications: The technology can be used in customer service call centers, virtual assistants, and interactive voice response systems to streamline interactions and improve customer satisfaction.

Prior Art: Prior research in the field of natural language processing and voice recognition technologies may provide insights into similar approaches to generating and validating pretrained models for voice interfaces.

Frequently Updated Research: Stay informed about advancements in natural language processing, machine learning, and voice recognition technologies to enhance the development and implementation of enterprise type pretrained models for voice interfaces.

Questions about Enterprise Type Pretrained Models for Voice Interfaces: 1. What are the key benefits of using enterprise type pretrained models for voice interfaces? 2. How does the customization of pretrained models based on the specific enterprise type improve user interactions?

Original Abstract Submitted

systems and methods for enterprise type pretrained models for voice interfaces include the generation and validation of enterprise type pretrained models utilizing input associated with the enterprise type at issue. once generated and validated, when a user command is received, the speech processing system may check to determine if a customized model is available, and if not, may query the enterprise type model to provide a response to the user command.