Voicemail Categorization Using Context and Emotional Metadata
Solution Overview
Problem
Organizations face challenges in efficiently categorizing and accessing voicemail messages, particularly in identifying urgent and important messages amidst a large volume, and in allowing other users to filter messages based on associated information.
Innovation Solution
An apparatus and method that utilize a context module to determine relevant collaborative groups for voicemail messages, perform metadata-based searches, and include transcription analysis to identify emotional content, allowing for quicker access and filtering of voicemails by relevant personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If voicemail messages are stored without categorization, then storage is simple, but accessing and filtering messages becomes time-consuming and difficult
Solution Approach 1:
The system performs preliminary analysis of voicemail messages by extracting metadata (caller identity, collaborative group membership, emotional content) and assigning categories before the user needs to access them. This preliminary categorization eliminates the need for users to manually sort or search through unorganized messages, significantly improving access efficiency while the automation keeps the system manageable.
Solution Approach 2:
The invention introduces an intermediary categorization layer between the raw voicemail messages and the user interface. This intermediary system automatically assigns metadata and categories to messages, acting as a mediator that transforms unorganized messages into structured, filterable data without requiring users to directly manage the complexity of message organization.
2Adaptability or versatility
If only the original user can access their voicemails, then privacy is maintained, but collaborative access and filtering by relevant personnel is prevented
Solution Approach 1:
The voicemail system is designed to serve multiple functions: it provides private access to the original user while simultaneously enabling collaborative access for other personnel. The metadata extraction and categorization system allows the same voicemail infrastructure to support both individual privacy and team collaboration, making the system universally applicable to different access scenarios without requiring separate systems.
Solution Approach 2:
The system creates informational copies of voicemail metadata (caller identity, collaborative group affiliation, emotional content) that can be shared with authorized personnel without exposing the actual audio content. This allows collaborative filtering and access to message context information while maintaining the integrity and privacy of the original voicemail recordings.
3Productivity
If manual categorization is performed, then accuracy can be controlled, but time consumption increases significantly
Solution Approach 1:
The voicemail system performs self-service categorization by automatically extracting metadata and assigning categories without human intervention. The system analyzes caller identity, collaborative group membership, and emotional content to autonomously organize messages, eliminating the time-consuming manual categorization process while maintaining consistent and reliable categorization accuracy through programmed analysis rules.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present disclosure relates to voicemail categorization and access. An apparatus, for example a PBX, is provided for categorizing voicemails. The apparatus is configured to store voicemail messages and to determine and store metadata associated with the voicemail messages. The apparatus allows searches of the stored voicemail messages to be performed using the associated metadata. A user interface may reside on a user device or be provided by the apparatus. The interface allows other user to search for voicemails using the metadata associated with them and subsequently displays information about the voicemails which match the search criteria.