Vocal Effect Processing System with Dynamic Likelihood Adjustment
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Solution Overview
Problem
Existing vocal effect processors face challenges in automatically and seamlessly managing vocal effects during live performances, particularly when vocal signals are intermittent, leading to unintended processing of ambient sounds and requiring manual intervention, which is impractical and distracting.
Innovation Solution
A vocal effect processing system that uses a vocal likelihood score (VLS) to determine the probability of a vocal signal presence, allowing for automatic adjustment of effect parameters and dynamic control of effects, ensuring minimal processing of unintended audio while maintaining a smooth output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vocal effects are continuously applied to the audio signal, then vocal processing functionality is maintained, but ambient sounds are unintentionally processed and manual intervention is required
Solution Approach 1:
The system dynamically adjusts effect parameters based on real-time vocal likelihood scores. The vocal likelihood score varies continuously from 0 to 1, and effect parameters are adjusted proportionally, creating a dynamic system that adapts to changing signal conditions without abrupt transitions
Solution Approach 2:
The system changes the parameters of vocal effects (such as effect strength, gain, or mix) based on the vocal likelihood score. When the score indicates low probability of vocal presence, effect parameters are reduced or set to zero, preventing unintended processing of ambient sounds while maintaining processing capability when vocals are detected
2Measurement precision
If manual intervention is used to control vocal effects, then processing accuracy is improved, but ease of operation deteriorates due to distraction during live performance
Solution Approach 1:
The system performs self-service by automatically detecting vocal signals and adjusting effect parameters without requiring manual intervention. The vocal likelihood calculation and effect parameter adjustment are automated processes that operate independently, allowing the performer to focus on their performance rather than system control
Solution Approach 2:
The system uses feedback from the audio signal analysis to automatically control effect parameters. The vocal likelihood score is continuously calculated from the input signal and feeds back to adjust the effect parameters in real-time, creating a closed-loop control system that maintains accuracy without manual input
3Speed
If effect parameters are abruptly adjusted based on vocal detection, then responsiveness to vocal signals is improved, but audio smoothness deteriorates due to abrupt changes
Solution Approach 1:
The system uses dynamic parameter adjustment where effect parameters change smoothly as the vocal likelihood score changes. This creates a continuous adaptation rather than abrupt switches, maintaining both responsiveness and smoothness
Solution Approach 2:
The system prepares for potential abrupt changes by using the vocal likelihood score to gradually adjust parameters before conditions change significantly. This cushioning approach prevents harsh transitions by anticipating and smoothing out parameter changes before they become problematic
Data Source
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AI summary
A vocal effect processing system may include an effect modification module configured to selectively and dynamically apply effects to an input audio signal in accordance with a degree of likelihood that the input audio signal includes a vocal signal and/or based on a proximate location of a source of vocal audio with respect to a vocal microphone. Determination of the degree of likelihood that the input audio signal includes a vocal signal and/or the proximate location may be based on processing of the input audio signal or a plurality of input audio signals. Determination of the proximate location may alternatively, or in addition, be estimated based on a proximity sensor. The effect modification module may dynamically and selectively adjust the effects in response to changes in the degree of likelihood that the vocal signal is included in the input audio signal and/or changes in the estimated proximate location.