Voice Equalization Masking for Clear Speech in Noisy Playback
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Solution Overview
Problem
Existing audio processing systems fail to effectively enhance the audibility and intelligibility of speech signals in noisy environments, both at the transmission and reception ends, particularly due to the limitations of small loudspeakers in devices like cellular phones which struggle with frequency response and power handling, leading to masked speech signals.
Innovation Solution
The system receives acoustic signals from both near-end and far-end environments, calculates power spectrum estimates and noise levels, and applies a voice equalization mask using a combination of modification gains to improve signal quality, dynamically processing the signals to prevent distortion and ensure clear playback through loudspeakers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If background noise reduction is applied at the transmission end, then speech signal quality is improved, but local noise at the receiver's end still masks the speech signal
Solution Approach 1:
The system performs preliminary noise characterization at the receiver end by analyzing the local acoustic environment before speech playback. Microphones capture near-end noise, and the system pre-computes equalization parameters to counteract this noise, applying the equalization before the speech signal is output through the loudspeaker. This preliminary action at the receiver end complements the transmission-end noise reduction to provide comprehensive noise mitigation.
2Illumination intensity
If speech signal volume is increased to overcome local noise, then audibility is improved, but distortion and clipping occur due to loudspeaker limitations
Solution Approach 1:
The system applies voice equalization that dynamically adjusts the frequency spectrum parameters of the speech signal based on the characterized local noise profile. By modifying the spectral parameters rather than simply increasing overall volume, the system enhances audibility in specific frequency bands affected by noise while maintaining signal fidelity and avoiding distortion. The equalization mask is designed to boost speech frequencies selectively without overdriving the loudspeaker.
3Device complexity
If simple noise suppression is applied, then processing complexity is reduced, but speech signals remain masked by local noise in noisy environments
Solution Approach 1:
The system applies voice equalization that modifies the frequency spectrum parameters of the speech signal based on the characterized local noise profile. By changing spectral parameters selectively rather than applying simple uniform noise suppression, the system improves speech intelligibility in noisy environments while maintaining manageable processing complexity suitable for mobile devices.
4Illumination intensity
If frequency response is extended to cover broader spectrum, then speech coverage is improved, but power handling capability requirements increase beyond small loudspeaker limits
Solution Approach 1:
The system applies voice equalization that selectively adjusts frequency spectrum parameters to match the actual capabilities of the small loudspeaker. Rather than attempting to extend the frequency response beyond what the hardware can deliver, the equalization optimizes the distribution of power across available frequencies, enhancing speech intelligibility within the loudspeaker's power handling limits by emphasizing critical speech frequencies that can be reproduced effectively.
Data Source
AI summary
Systems and methods for providing voice equalization are provided. In exemplary embodiments, acoustic signals are received from both a near-end and a far-end environment. A power spectrum estimate for the far-end signal and a noise estimate based on the near-end signal are determined. A voice equalization mask based on the power spectrum estimate of the far-end signal and the noise estimate based on the near-end signal is generated and applied to the far-end signal to obtain a modified signal. The modified signal may then be dynamically processed to obtain an enhanced audio signal. The enhanced audio signal is then output.