Digital Assistant M2M Communication via Audio Signature Detection

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Solution Overview

Problem

Existing technologies lack efficient mechanisms for machine-to-machine communication between digital assistants, leading to suboptimal communication efficiency and resource utilization.

Innovation Solution

The implementation of an assistant detection application that includes assistant signature data, such as tones or sound modifications, within audio stream data to indicate digital assistant communication, allowing for seamless switching to machine-to-machine communications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If digital assistants communicate using spoken commands and audio streams, then human users can understand and interact naturally, but communication efficiency and resource utilization deteriorate

Engineering Contradiction:

Improvenatural interactionVSAvoidcommunication efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system dynamically switches between two communication modes: audio-based spoken commands for human interaction and machine-to-machine data exchange for automated communication. This dynamic adaptation allows the system to optimize for either natural interaction or communication efficiency depending on the interaction partner, resolving the contradiction between ease of operation and productivity

Inventive Principle:

Principle #15Dynamics

2Ease of operation

If digital assistants use spoken commands for communication, then human users can understand the interaction, but time and bandwidth resources are consumed

Engineering Contradiction:

Improvehuman understandingVSAvoidcommunication time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system introduces an intermediary detection mechanism that identifies when both parties are digital assistants, enabling a switch to direct machine-to-machine communication. This intermediary detection layer allows the system to bypass time-consuming spoken commands when unnecessary, while preserving human understanding capability when needed

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If digital assistants communicate through audio streams, then natural conversation is possible, but bandwidth and voice time resources are depleted

Engineering Contradiction:

Improveconversation capabilityVSAvoidbandwidth consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system changes the communication parameter from audio-based transmission to data-based transmission when both parties are digital assistants. This parameter change maintains conversation capability through machine-to-machine protocols while dramatically reducing bandwidth consumption and energy loss

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12300231B2Enabling machine-to-machine communication for digital assistants

Publication Date: 2025.05.13 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Enabling machine-to-machine communication for digital assistants can include initiating a call with a called device, generating audio stream data having a first instance of audio and a first spoken command, which can be provided to the called device. A second instance of audio stream data can be received from the called device, can include a second spoken command, and can be analyzed to determine if it includes assistant signature data. If the second instance of audio stream data includes the assistant signature data, the devices can switch to machine-to-machine communications.