Karaoke Audio Mixing with Voice-Emission Signal Extraction
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Solution Overview
Problem
In conventional MIC-free karaoke systems, audio mixing includes sound signals with low signal-to-noise ratios, which degrade the sound quality of the output audio signal when there is no voice emission at certain positions.
Innovation Solution
An audio processing method that identifies and separates audio signals corresponding to voice emissions by using sound separation technologies and visual recognition, excluding signals without voice emissions from the mixing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio mixing includes all sound signals from multiple positions, then the karaoke function can be provided in multi-singer mode, but the sound quality degrades due to inclusion of signals with low signal-to-noise ratio
Solution Approach 1:
The patent extracts and identifies audio signals that contain voice emissions from the mixed audio signals obtained from multiple positions. By separating the voice-containing signals from noise-dominated signals, the system maintains multi-singer functionality while excluding low-quality signals from the final mixing, thus resolving the contradiction between versatility and sound quality.
2Ease of manufacture
If audio mixing is performed on all acquired signals, then the processing is simple, but the sound quality deteriorates due to noise from positions without voice emission
Solution Approach 1:
The patent performs preliminary identification of voice emissions in each audio signal before the mixing process. By pre-screening the signals to determine which positions contain actual voice emissions, the system avoids incorporating noise-dominated signals into the mixing, thereby maintaining both processing efficiency and sound quality.
3Reliability
If voice emission identification is implemented, then sound quality improves by excluding noise signals, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based voice detection systems with signal processing algorithms that analyze audio characteristics. By using computational methods to identify voice emissions based on signal properties, the system achieves accurate voice detection without requiring additional complex hardware, thus improving sound quality while controlling device complexity.
Data Source
AI summary
Embodiments of this disclosure disclose an audio processing method and a computer readable storage medium. The method includes: acquiring a plurality of first audio signals in a space of a mobile terminal; determining, based on the plurality of first audio signals, a second audio signal corresponding to at least one position in the space of the mobile terminal; and performing audio mixing based on the at least one second audio signal to obtain a third audio signal.


