Singing Guidance Audio Separation for Real-Time Vocal Feedback
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Solution Overview
Problem
Existing audio playback systems do not effectively support users who want to sing along with music, as their voice interferes with the original recording, and less experienced singers lack guidance for improving their performance.
Innovation Solution
An electronic device performs audio source separation to isolate vocals and accompaniment signals, and conducts confidence analysis on the user's voice to provide real-time guidance through visual and audio cues, adjusting the original vocals based on the user's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio source separation is performed to separate vocals and accompaniment signals, then the ability to provide targeted guidance to users is improved, but the device complexity increases
Solution Approach 1:
The audio signal is segmented into distinct components (vocals and accompaniment) through source separation, allowing independent analysis and processing of each component. This enables precise voice signal analysis while managing complexity by handling separated signals rather than the full mixed audio stream.
Solution Approach 2:
An intermediary processing stage is introduced that takes the separated vocals signal as input and generates guidance information as output. This intermediary layer bridges the gap between complex source separation and simple guidance provision, allowing the system to maintain high measurement precision while managing overall device complexity.
2Adaptability or versatility
If real-time confidence analysis is performed on user's voice to provide guidance, then the usefulness of the system for improving singing performance is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-processing the reference vocals signal through source separation to extract the vocals component before the user sings. This preparation allows the confidence analysis to operate more efficiently during real-time user performance, reducing processing delays while maintaining adaptability.
Solution Approach 2:
A feedback loop is established where the user's voice is continuously analyzed against the reference vocals, and guidance is provided based on the confidence analysis results. This feedback mechanism enables real-time adaptation to user performance while managing computational load by focusing analysis on relevant parameters.
3Ease of operation
If the vocals signal is adjusted based on confidence analysis to provide guidance, then the user's singing experience is improved, but the audio signal processing complexity increases
Solution Approach 1:
The vocals signal is dynamically adjusted based on real-time confidence analysis results rather than using a static processing approach. The system adapts the guidance signal characteristics according to the user's performance level, improving ease of operation while managing complexity through adaptive rather than exhaustive processing.
Solution Approach 2:
Specific parameters of the vocals signal (such as gain, pitch, or timing) are changed based on confidence analysis outcomes to provide targeted guidance. By modifying only relevant parameters rather than the entire signal, the system improves user experience while keeping audio signal processing complexity manageable.
Data Source
AI summary
An electronic device having a circuitry configured to perform audio source separation on an audio input signal to obtain a vocals signal and an accompaniment signal and to perform a confidence analysis on a user's voice signal based on the vocals signal to provide guidance to the user.