Speaker Identification Apparatus Automatic Database Update

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Solution Overview

Problem

Existing speaker identification methods are cumbersome, requiring initial registration of voice data and lacking an easy way to update speaker information, leading to inefficient database construction and service provision.

Innovation Solution

A method and apparatus for identifying speakers by acquiring voice information, matching it with registered data, and updating the database accordingly, allowing seamless registration and service provision without requiring users to perform troublesome settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional speaker identification methods are used requiring initial registration of voice data, then speaker identification accuracy is improved, but user operation complexity increases and registration process becomes cumbersome

Engineering Contradiction:
Improvespeaker identification accuracyVSAvoiduser operation simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically performs speaker identification and database updates without requiring user intervention. The voice recognition apparatus autonomously acquires voice information, determines speaker identity, and updates the database, eliminating the need for users to manually register voice data while maintaining identification accuracy

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-registers voice information in the database during initial setup, then uses this pre-registered data for subsequent automatic comparisons. This preliminary registration enables the system to automatically identify speakers without requiring users to perform registration operations each time

Inventive Principle:
Principle #10Preliminary action

2Reliability

If manual registration of speaker information is required, then database accuracy is improved, but time consumption and operational burden increase

Engineering Contradiction:
Improvedatabase accuracyVSAvoidregistration time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system automatically updates the speaker database by comparing acquired voice information with registered voice information. When a new speaker is detected, the system automatically adds their voice information to the database without requiring manual registration, thereby maintaining database accuracy while eliminating time consumption

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors voice information and provides feedback to the database. By comparing real-time voice data with registered data, the system automatically identifies new speakers and updates the database, ensuring ongoing accuracy without manual intervention

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If voice information is continuously acquired and compared, then speaker identification capability is improved, but data processing complexity increases

Engineering Contradiction:
Improvespeaker identification capabilityVSAvoiddata processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system extracts only the essential voice information features needed for identification and compares these extracted features against the database. By focusing on key characteristics rather than processing entire voice datasets, the system maintains high identification capability while reducing processing complexity

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS9911421B2Speaker identification method, speaker identification apparatus, and information management method
Publication Date: 2018.03.06 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA
  • US9911421B2 patent drawing
  • US9911421B2 patent drawing
  • US9911421B2 patent drawing

AI summary

The speaker identification system has a voice acquisition unit that acquires voice information of a speaker, and a database management unit that determines whether or not the speaker corresponding to the acquired voice information matches a speaker corresponding to registered voice information in connection with content information on a content, that acquires content information on the content displayed on a device at the time of acquisition of the voice information and stores the acquired content information in connection with the registered voice information in a case where it is determined that the speaker corresponding to the acquired voice information matches the speaker corresponding to the registered voice information, and that stores the acquired voice information in the database as registered voice information in a case where it is determined that the speaker corresponding to the acquired voice information does not match the speaker corresponding to the registered voice information.