Secure Conversation Gateway for Real-Time Audio Stream Replication

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Solution Overview

Problem

Existing SIPREC technology limits the real-time replicability and distribution of audio streams, hindering efficient processing and downstream distribution to multiple users.

Innovation Solution

A secure conversation gateway system that converts audio voice streams into formats like gRPC, RTP, SRTP, and WebRTC, applies machine learning for interaction events, replicates streams for multiple recipients, and allows interactive pause-and-resume functionality, segmenting and synchronizing channels for complex call scenarios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If SIPREC protocol is used for audio stream processing, then standard voice call handling is achieved, but real-time replicability and distribution to multiple users is limited

Engineering Contradiction:
Improvestream replicabilityVSAvoidprocessing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a media server as an intermediary component between the SIPREC recording system and downstream applications. This media server acts as a mediator that receives the audio stream and performs replication and distribution functions, thereby enabling stream replicability without modifying the core SIPREC protocol and avoiding direct complexity in the recording system itself.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements stream replication by creating multiple copies of the audio stream for distribution to different recipients. The system generates replicated versions of the original audio stream, allowing simultaneous delivery to multiple users or applications while maintaining the original stream integrity for primary processing.

Inventive Principle:
Principle #26Copying

2Adaptability or versatility

If audio stream is converted to multiple formats for different applications, then downstream processing capability is improved, but processing time and computational resources increase

Engineering Contradiction:
Improveformat compatibilityVSAvoidconversion time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs audio stream format conversion in advance, at the media server level, before distribution to downstream applications. By pre-converting the stream into multiple formats (such as WAV, MP3, or other application-specific formats), the system eliminates the need for real-time conversion at each downstream endpoint, thereby reducing processing delays and improving overall system responsiveness.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If stream is replicated for multiple recipients, then distribution capability is improved, but system resource consumption increases

Engineering Contradiction:
Improvedistribution efficiencyVSAvoidprocessing resources
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent consolidates stream replication and distribution functions into a single media server component. By merging these operations at one centralized point rather than duplicating processing across multiple systems, the patent achieves efficient multi-recipient distribution while optimizing resource utilization through shared processing infrastructure and centralized control.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12537862B2Method and system for providing secure conversation gateway
Publication Date: 2026.01.27 JPMORGAN CHASE BANK NA
  • US12537862B2 patent drawing
  • US12537862B2 patent drawing
  • US12537862B2 patent drawing

AI summary

Systems and methods for providing a secure conversation gateway by which an audio voice stream is made to be replicable and convertible into other media types are provided. The method includes receiving an audio voice data stream; converting the received audio voice data stream into a predetermined media format; and transmitting the converted audio data stream to a user. The method may also include receiving an interaction event that corresponds to the audio data stream; generating metadata based on the interaction event; and applying a machine learning algorithm to the audio data stream and the metadata in order to generate a response that relates to the audio data stream. The method may also include replicating the audio data stream and distributing copies thereof to a set of recipients.