Voicemail Speech-to-Text Analysis for Recipient Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional voice mail (VM) software lacks effective mechanisms for identifying the intended forwardee, leading to inefficient forwarding processes and wastage of compute resources.
Innovation Solution
Implementing software that analyzes the content of VMs to infer potential forwardees, allowing callees to select appropriate recipients and forward VMs efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional VM software is used without content analysis, then the system is simple and easy to operate, but compute resources are wasted due to inefficient forwarding
Solution Approach 1:
The system performs speech-to-text conversion and content analysis of the voicemail message body in advance, before the forwarding decision is made. This preliminary processing extracts key information such as intended recipient names or email addresses, enabling efficient routing without requiring complex real-time analysis when the forwarding action is triggered.
Solution Approach 2:
The patent introduces an intermediary component that analyzes the message body content and identifies potential forwardees based on extracted information. This intermediary layer sits between the simple VM software and the forwarding mechanism, adding intelligence to determine the correct recipient while keeping the core VM system relatively simple.
2Productivity
If content analysis is implemented to identify forwardees, then forwarding efficiency improves, but the system complexity increases
Solution Approach 1:
The system enables the voicemail message itself to provide information about its intended recipient through content analysis. By extracting names, email addresses, or other identifying information from the message body, the system allows the message to effectively identify its own destination, reducing the need for complex external routing logic.
3Measurement precision
If speech-to-text conversion is performed on VMs, then accurate forwardee identification is possible, but processing time and resources increase
Solution Approach 1:
The speech-to-text conversion is performed in advance when the voicemail is received or stored, not at the moment of forwarding. This preliminary conversion creates a text representation that can be quickly analyzed for recipient information, avoiding the time penalty of real-time speech processing during the forwarding operation.
Data Source
AI summary
Speech-to-text analysis is performed on a greeting portion of a communication directed to a recipient to identify a name. The identified name is determined not to correspond to the recipient. A forwardee is identified based on determining that the identified name does not correspond to the recipient. The communication is forwarded to a message box of the forwardee.


