Adaptive Audio Signal Processing for Speech and Music Distinction
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Solution Overview
Problem
Existing audio signal processing technologies, such as those using Enhanced Voice Services (EVS) technology, fail to distinguish between speech and music, leading to excessive filtering of high tones in music signals, which degrades sound quality.
Innovation Solution
An electronic device with a processor that analyzes audio signals to determine whether they are speech or music, applying appropriate signal processing schemes to maintain or enhance quality, using different decoding and encoding methods for each type to ensure uniform reproduction across the full audio band.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If signal processing is performed without distinction between speech and music using EVS technology, then processing simplicity is maintained, but sound quality degrades due to excessive filtering of high tones in music
Solution Approach 1:
The audio signal processing is segmented into two distinct paths: one for speech signals and another for music signals. The processor identifies the signal type and applies appropriate processing schemes - speech processing for vocal content and music processing for musical content, thereby preventing excessive filtering of high tones in music while maintaining simplicity in the overall system architecture
Solution Approach 2:
The system dynamically adapts its processing approach based on the detected signal characteristics. By continuously analyzing the audio signal and switching between speech and music processing modes, the system optimizes sound quality in real-time without requiring complex manual configuration or multiple fixed processing chains
2Object-affected harmful factors
If high tones are excessively filtered in audio signals, then noise reduction is achieved, but articulation and sound quality degradation occur
Solution Approach 1:
Different filtering characteristics are applied to different signal types locally. Speech signals receive processing optimized for vocal clarity and noise reduction, while music signals receive processing that preserves high-frequency content and articulation. This localized approach ensures that noise reduction is achieved for speech without compromising music quality
Solution Approach 2:
The system changes processing parameters based on signal type detection. For speech, parameters are optimized for noise reduction and clarity enhancement, while for music, parameters are adjusted to preserve high-frequency content and prevent excessive filtering, thereby maintaining articulation and sound quality
Data Source
AI summary
A method and electronic device for adaptive processing of sound data is provided. An electronic device includes a speaker, a communication module configured to communicate with an external electronic device, and a processor connected to the communication module, wherein the processor is configured to receive data from the external electronic device using the communication module, when the data corresponds to speech, decode the data using a first decoding scheme and change the quality of the decoded data using a first signal processing scheme, when the data corresponds to music, decode the data using a second decoding scheme and change the quality of the decoded data using a second signal processing scheme, and output, through the speaker, an audio signal corresponding to the data changed using the first signal processing scheme or the second signal processing scheme.