Audio Channel Identification via Energy Analysis
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Solution Overview
Problem
Current methods for distinguishing the accompanying sound channel in audio files are inefficient and inaccurate due to the lack of a standard, leading to high human cost and low resolution accuracy.
Innovation Solution
An audio information processing method that decodes audio files to extract subfiles from both sound channels, calculates energy values, and determines channel attributes using machine learning techniques, such as Deep Neural Networks and Gaussian Mixture Models, to accurately identify the accompanying sound channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If artificial recognition method is used to adjust audio files to uniform format, then the audio files can be processed, but the efficiency is low and cost is high
Solution Approach 1:
The patent replaces manual artificial recognition with an automated equipment-based detection system. The terminal device automatically detects and identifies the accompanying sound channel in audio files through algorithmic analysis, eliminating the need for manual format adjustment and significantly improving processing efficiency while reducing time consumption.
2Extent of automation
If equipment resolution method is used to automatically resolve audio channels, then the processing is automated, but the accuracy is low due to human-voice accompaniments
Solution Approach 1:
The patent employs multiple detection parameters including audio energy values, spectral characteristics, and temporal features to differentiate between human-voice accompaniments and actual accompanying channels. By analyzing these parameters comprehensively, the system achieves high accuracy in identifying the true accompanying sound channel even in complex audio scenarios with vocal elements.
Solution Approach 2:
The system uses feedback mechanisms where detection results are continuously refined through iterative analysis. The terminal device analyzes audio characteristics, compares detected patterns against known features of accompanying channels, and adjusts its identification process to improve accuracy, especially in distinguishing cases where human voices are present in the accompanying audio.
3Adaptability or versatility
If no standard is used for audio file channels, then audio files from different sources can be acquired, but it is impossible to confirm which sound channel is the accompanying sound channel
Solution Approach 1:
The patent introduces an intermediary detection and identification process between acquiring audio files from different sources and processing them. The terminal device acts as an intermediary that automatically analyzes and identifies channel attributes, detecting which channel is the accompanying sound channel through algorithmic detection. This intermediary process preserves compatibility with diverse audio sources while recovering the lost channel attribute information through automated detection.
Data Source
AI summary
An audio information processing method and apparatus are provided. The method includes decoding a first audio file to acquire a first audio subfile corresponding to a first sound channel and a second audio subfile corresponding to a second sound channel; extracting first audio data from the first audio subfile; extracting second audio data from the second audio subfile; acquiring a first audio energy value of the first audio data; acquiring a second audio energy value of the second audio data; and determining an attribute of at least one of the first sound channel and the second sound channel based on the first audio energy value and the second audio energy value.