Terminal Situation Analysis via Beep Tone Pattern Matching
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Solution Overview
Problem
Conventional devices struggle to accurately analyze the situation of a called terminal due to errors in detecting the starting point of sound sources, asynchronization of reference and received sound sources, and high computational requirements for voice recognition, especially when the called party rejects a call or is busy.
Innovation Solution
A method that stores feature information of situation guidance sound sources, extracts analysis durations from received sound sources based on beep/tone patterns, and determines the terminal's situation by matching degrees, reducing errors and computational load by excluding silent syllable durations and sounds before the starting point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the conventional calling device detects the starting point of the sound source and analyzes sound source data by comparing patterns and recognizing voice, then the situation of the called terminal can be analyzed, but analysis errors are influenced according to performance of a starting point detector and voice recognition requires large amount of calculation
Solution Approach 1:
The patent extracts and analyzes only specific critical portions of the sound source data rather than processing the entire sound source. By identifying and focusing on key segments that contain situation information, the system reduces computational complexity while maintaining analysis accuracy.
Solution Approach 2:
The patent changes the analysis approach from voice recognition (which requires large computational resources) to analyzing specific sound source parameters and patterns. This parameter change reduces the calculation amount while still enabling accurate situation determination.
2Productivity
If the conventional calling device recognizes a middle point of the actual sound source as the starting point when initial received data are lost, then the device can continue operation, but it cannot accurately analyze the situation of the called terminal because of asynchronization of a reference sound source and a received sound source
Solution Approach 1:
The patent uses feedback mechanisms to detect and correct asynchronization between the reference sound source and the received sound source. By continuously monitoring the alignment and adjusting the analysis accordingly, the system maintains both operation continuity and analysis accuracy even when data loss occurs.
3Ease of operation
If the conventional device analyzes the sound source with reference to the starting point, then the device can process the sound source data, but it is difficult to analyze the call rejection situation of the called terminal when the sound source comes after an individually established ring back tone
Solution Approach 1:
The patent segments the sound source data into distinct portions, separating the ring back tone from the subsequent situation notification sound source. By dividing the audio stream into manageable segments and identifying their respective roles, the system can accurately analyze call rejection situations even when they occur after a ring back tone.
Data Source
AI summary
An apparatus provides a method for analyzing a situation of a called terminal based on a sound source provided by a telecommunication service provider. The method includes storing feature informations of situation guidance sound sources provided by telecommunication service providers according to the situation of the called terminal; after a call connection request to a called terminal, receiving a sound source provided by a telecommunication service provider according to a situation of the called terminal; extracting at least one analysis duration of the received sound source with reference to a beep/tone of the received sound source, corresponding to feature informations of at least one candidate sound source among the situation guidance sound sources; and determining a situation of the called terminal based on a matching degree of the received sound source and the candidate sound source relating to a corresponding analysis duration, for respective analysis durations.