Room Acoustics Control for Speaker-Specific Speech Intelligibility
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Solution Overview
Problem
In noisy environments, such as vehicle interiors, speech intelligibility is compromised due to masking effects caused by noise frequencies overlapping with those critical for speech comprehension, varying among individuals, and existing sound management systems fail to adapt to individual voice profiles.
Innovation Solution
A system that determines an individual's voice frequency profile and facial movements to identify relevant frequencies for speech intelligibility, using cameras and microphones to detect and identify speakers, and adjusts room acoustics through active noise reduction and interference to reduce noise at these frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If sound transducers are used to produce vehicle sound or reproduce music in the interior, then the acoustic atmosphere is enhanced, but noise at frequencies critical for speech intelligibility increases, masking speech sounds
Solution Approach 1:
The system segments the frequency spectrum by identifying individual voice frequency profiles and their specific critical frequencies. Sound transducers then apply noise reduction selectively at these identified frequencies rather than across the entire spectrum, preserving music quality while eliminating speech masking at critical points.
Solution Approach 2:
The system applies different acoustic treatments to different frequency regions. Music frequencies are preserved with high fidelity while speech-critical frequencies receive targeted noise reduction. This local differentiation allows simultaneous optimization of both music reproduction quality and speech intelligibility.
2Reliability
If background noise is reduced to improve speech intelligibility, then speech comprehension improves, but the natural acoustic atmosphere and vehicle sound characteristics are compromised
Solution Approach 1:
The system dynamically adapts the noise reduction based on detected speech presence and identified individual voice profiles. When speech is detected, targeted frequency-specific noise reduction is applied; when speech is absent, the system maintains natural acoustic atmosphere. This dynamic adaptation resolves the contradiction between speech intelligibility and acoustic atmosphere.
Solution Approach 2:
The system changes acoustic parameters selectively - reducing noise amplitude only at frequencies matching the speaker's voice profile while maintaining original acoustic characteristics at all other frequencies. This parameter differentiation preserves acoustic atmosphere while improving speech intelligibility where needed.
3Reliability
If individual voice frequency profiles are determined and used for targeted noise reduction, then speech intelligibility for specific speakers improves, but the system complexity increases due to multiple detection and identification components
Solution Approach 1:
The system uses multi-functional components that perform multiple tasks: cameras and microphones detect both speech presence and facial movements; the processor identifies individual voice profiles and determines critical frequencies; sound transducers then use this information for targeted noise reduction. This multi-functionality reduces overall system complexity by consolidating capabilities.
Solution Approach 2:
The system automatically determines individual voice frequency profiles and identifies critical frequencies without requiring manual configuration. The processor autonomously analyzes detected speech and facial movements to generate speaker-specific noise reduction parameters, eliminating the need for complex manual setup procedures.
4Reliability
If noise is reduced at frequencies adjacent to speech frequencies, then speech intelligibility improves by preventing masking, but more of the music and vehicle sound is attenuated
Solution Approach 1:
The system segments the frequency spectrum into speech-critical regions and music regions based on identified individual voice profiles. Noise reduction is applied only to speech-critical frequencies and their immediate adjacent ranges, while music frequencies are preserved. This segmentation minimizes music attenuation while maintaining speech intelligibility.
Solution Approach 2:
The system applies different noise reduction intensities to different frequency regions. At frequencies adjacent to speech, moderate noise reduction is applied to prevent masking; at music frequencies, minimal or no noise reduction is applied. This local quality differentiation reduces overall music energy loss while still improving speech intelligibility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves speech comprehension by reducing noise interference at critical frequencies, enhancing intelligibility for individual speakers in noisy environments.
Implementation Method 1
adjusts room acoustics through active noise reduction and interference to reduce noise at these frequencies
Implementation Method 2
adjusts room acoustics through active noise reduction and interference to reduce noise at these frequencies
Data Source
AI summary
A method for improving speech intelligibility in a room includes detecting an active speaker, or speech, identifying the active speaker, and influencing at least one apparatus for producing sound for the room in such a way that the level of sound emitted into the room by this apparatus is reduced at frequencies or in frequency ranges that tally with or are adjacent to the frequencies, or frequency ranges, of the speaker that are relevant to speech intelligibility, and/or influencing at least one apparatus for producing sound for the room in such a way that the level of sound transmitted into the room is reduced by at least one apparatus for reducing sound by destructive interference at the frequencies or in the frequency ranges that are relevant to the speech intelligibility of the speaker or at frequencies or in frequency ranges that are adjacent to the frequencies or frequency ranges.