Google llc (20240265923). AUTOMATED CALLING SYSTEM simplified abstract

AUTOMATED CALLING SYSTEM

Organization Name

google llc

Inventor(s)

Asaf Aharoni of Ramat Hasharon (IL)

Arun Narayanan of Milpitas CA (US)

Nir Shabat of Geva (IL)

Parisa Haghani of Jersey City NJ (US)

Galen Tsai Chuang of New York NY (US)

Yaniv Leviathan of New York NY (US)

Neeraj Gaur of Jersey City NJ (US)

Pedro J. Moreno Mengibar of Jersey City NJ (US)

Rohit Prakash Prabhavalkar of Santa Clara CA (US)

Zhongdi Qu of New York CA (US)

Austin Severn Waters of Brooklyn NY (US)

Tomer Amiaz of Tel Aviv (IL)

Michiel A.U. Bacchiani of Summit NJ (US)

AUTOMATED CALLING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265923 titled 'AUTOMATED CALLING SYSTEM

Simplified Explanation: The patent application describes methods, systems, and apparatus for an automated calling system that analyzes telephone conversations between users and bots to generate synthesized speech replies.

• The system receives audio data of a user's utterance during a telephone conversation.
• It determines the context of the conversation and the user intent based on previous portions of the conversation.
• The system also identifies the bot's intent from the speech synthesized by the bot.
• Using this information, the system generates synthesized speech for the bot to reply to the user's utterance.

Key Features and Innovation:

• Analysis of user utterances in telephone conversations.
• Determination of user intent and bot intent.
• Generation of synthesized speech for bot replies.

Potential Applications: This technology can be used in customer service call centers, virtual assistants, and automated helplines.

Problems Solved:

• Improving the efficiency of automated calling systems.
• Enhancing the user experience during telephone conversations with bots.

Benefits:

• Streamlining communication between users and bots.
• Providing more accurate and contextually relevant responses.
• Increasing overall customer satisfaction.

Commercial Applications: Automated calling systems using this technology can be implemented in various industries such as telecommunications, customer service, and healthcare.

Questions about Automated Calling Systems: 1. How does this technology improve the interaction between users and bots during telephone conversations? 2. What are the potential challenges in implementing this automated calling system in real-world scenarios?

Frequently Updated Research: Stay updated on advancements in speech recognition technology and natural language processing to enhance the capabilities of automated calling systems.

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. in one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. the actions further include determining a context of the telephone conversation. the actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. the actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. the actions further include, providing, for output, the synthesized speech.