18462787. RESOLVING UNIQUE PERSONAL IDENTIFIERS DURING CORRESPONDING CONVERSATIONS BETWEEN A VOICE BOT AND A HUMAN simplified abstract (GOOGLE LLC)

RESOLVING UNIQUE PERSONAL IDENTIFIERS DURING CORRESPONDING CONVERSATIONS BETWEEN A VOICE BOT AND A HUMAN

Organization Name

GOOGLE LLC

Inventor(s)

Rafael Goldfarb of Hadera (IL)

Or Guz of Givatayim (IL)

Lior Alon of Ramat Gan (IL)

Assaf Hurwitz Michaely of New York NY (US)

Golan Pundak of New York NY (US)

Shmuel Leibtag of Tel Aviv (IL)

Tomer Amiaz of Tel Aviv (IL)

Dan Rasin of Givatayim (IL)

Asaf Aharoni of Ramat Hasharon (IL)

RESOLVING UNIQUE PERSONAL IDENTIFIERS DURING CORRESPONDING CONVERSATIONS BETWEEN A VOICE BOT AND A HUMAN - A simplified explanation of the abstract

This abstract first appeared for US patent application 18462787 titled 'RESOLVING UNIQUE PERSONAL IDENTIFIERS DURING CORRESPONDING CONVERSATIONS BETWEEN A VOICE BOT AND A HUMAN

Simplified Explanation

Implementations of this patent application involve a voice bot using machine learning to identify unique personal identifiers during conversations with humans. These identifiers can be a sequence of alphanumeric characters specific to each individual. Here are the key points:

• The voice bot analyzes spoken utterances to identify unique personal identifiers.
• It generates candidate identifiers based on the speech hypotheses.
• The bot prompts the human for clarification on specific alphanumeric characters until it accurately predicts the unique personal identifier.
• Once identified, the bot can use these identifiers to perform further actions.
• The technology utilizes multiple layers of machine learning to improve accuracy and efficiency.

Potential applications of this technology:

• Customer service: Voice bots can use unique personal identifiers to provide personalized assistance to customers.
• Security: Identifying unique personal identifiers can help verify the identity of individuals during conversations.
• Personalized recommendations: By recognizing unique personal identifiers, voice bots can offer tailored recommendations based on individual preferences.

Problems solved by this technology:

• Efficient identification: The technology streamlines the process of identifying unique personal identifiers during conversations, reducing the need for manual input.
• Accuracy: By utilizing machine learning, the voice bot can accurately predict the correct unique personal identifier.
• Personalization: The technology enables voice bots to provide personalized experiences by recognizing individual identifiers.

Benefits of this technology:

• Improved customer experience: Voice bots can offer personalized assistance and recommendations, enhancing the overall customer experience.
• Enhanced security: By verifying unique personal identifiers, the technology helps prevent unauthorized access to sensitive information.
• Time-saving: The automated identification process saves time for both the voice bot and the human user.

Original Abstract Submitted

Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.