Frequency-Bin Audio Clarity Control for Noisy Spoken Output
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Solution Overview
Problem
Spoken word audio outputs in noisy environments, such as vehicle cabins, are difficult to understand due to increased cognitive load and low signal-to-noise ratios, necessitating a method to enhance clarity while maintaining user preferences for audio quality.
Innovation Solution
A system that adjusts audio clarity by applying customized gains on a per frequency bin basis, using dynamic range compression and spectral tilt, considering factors like noise level, volume control, content type, and bandwidth, to enhance softer sounds relative to louder ones, ensuring intelligibility at a desired level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic range compression and spectral tilt are applied to enhance softer frequencies, then intelligibility of spoken word improves, but audio richness and quality may be compromised
Solution Approach 1:
The system applies different gain adjustments to different frequency bins based on their magnitude. Frequencies of lesser magnitude receive greater enhancement while frequencies of greater magnitude receive less enhancement, creating a non-uniform frequency response that improves intelligibility while preserving audio quality in different spectral regions.
Solution Approach 2:
The customized gain is dynamically adjusted based on multiple factors including noise level, volume control settings, content type, and bandwidth. The system continuously adapts the frequency-dependent gain to maintain optimal intelligibility across changing environmental conditions and content characteristics.
2Measurement precision
If frequency-dependent gain adjustments are applied to counteract road noise, then clarity of audio output improves, but system complexity increases
Solution Approach 1:
The audio frequency spectrum is divided into multiple discrete frequency bins, allowing independent gain adjustment for each bin. This segmentation enables targeted noise counteraction in specific frequency ranges affected by road noise while maintaining simplicity through systematic processing of individual bins.
Solution Approach 2:
The system modifies the gain parameter differently for each frequency bin based on the noise characteristics and content properties. By changing the gain parameter selectively across frequency bins rather than applying a uniform adjustment, the system achieves clarity improvement with manageable computational complexity.
3Measurement precision
If customized gain is applied on a per frequency bin basis to enhance softer frequencies, then intelligibility increases, but computational load increases
Solution Approach 1:
Instead of uniformly processing all frequency bins, the system identifies and applies greater gain enhancement specifically to frequency bins with lesser magnitude. This localized processing approach improves intelligibility by focusing computational resources on the frequency regions that most need enhancement.
Solution Approach 2:
The system applies gain enhancement selectively to frequency bins where it is most needed rather than uniformly across the entire spectrum. By applying partial action only to softer frequencies that require intelligibility improvement, the system reduces unnecessary computational energy expenditure on frequencies that already have sufficient magnitude.
Data Source
AI summary
A method for adjusting the clarity of an audio output in a changing environment, including: receiving a content signal; applying a customized gain to the content signal; and outputting the content signal with the customized gain to at least one speaker for transduction to an acoustic signal, wherein the customized gain is applied on a per frequency bin basis such that frequencies of a lesser magnitude are enhanced with respect to frequencies of a greater magnitude and an intelligibility of the acoustic signal is set approximately at a desired level, wherein the customized gain is determined according to at least one of a gain applied to the content signal, a bandwidth of the content signal, and a content type encoded by the content signal.