Voice Interaction Audio Ducking for Speech Intelligibility
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Solution Overview
Problem
Ambient noise interferes with voice interactions in environments where digital audio is playing, making it difficult for voice services and human conversation to comprehend voice inputs and responses, leading to a poor signal-to-noise ratio.
Innovation Solution
An audio playback system that dynamically adjusts audio levels by ducking music within specific frequency bands corresponding to speech, compressing audio to bring low-amplitude details above the noise floor, and applying equalization to improve the signal-to-noise ratio for speech comprehension, using microphones and sensors to detect speech presence and ambient noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If music is played at high volume in a given environment, then music playback quality is improved, but speech intelligibility deteriorates due to increased background noise
Solution Approach 1:
The audio signal is segmented into different frequency bands using a filter bank, where speech-relevant frequencies (e.g., 300-3400 Hz) are separated from music frequencies. This allows independent processing of speech and music components, enabling speech enhancement without uniformly affecting all audio content.
Solution Approach 2:
Different processing strategies are applied to different frequency regions: speech-enhancing processing (amplification, noise reduction) is applied specifically to speech-relevant frequency bands, while music frequencies maintain their original characteristics. This localized approach preserves music quality while improving speech intelligibility.
2Object-affected harmful factors
If audio compression is applied to bring low-amplitude details above the noise floor, then speech intelligibility is improved, but audio fidelity deteriorates
Solution Approach 1:
The system dynamically adjusts audio processing parameters including compression ratio, noise floor threshold, and equalization curves based on detected speech presence and ambient noise levels. These parameter changes are optimized to improve speech intelligibility while minimizing impact on overall audio fidelity.
3Object-affected harmful factors
If equalization is applied to boost speech frequencies, then speech intelligibility is improved, but music quality deteriorates
Solution Approach 1:
The equalization settings are dynamically adjusted based on real-time detection of speech presence and characteristics. When speech is detected, speech-friendly equalization is applied; when no speech is present, music-optimized equalization is used. This dynamic adaptation resolves the contradiction by applying the appropriate processing only when needed.
Data Source
AI summary
Example techniques relate to voice interaction in an environment with a media playback system that is playing back audio content. In an example implementation, while playing back first audio in a given environment at a given loudness: a playback device (a) detects that an event is anticipated in the given environment, the event involving playback of second audio and (b) determines a loudness of background noise in the given environment, the background noise comprising ambient noise in the given environment. The playback device ducks the first audio in proportion to a difference between the given loudness of the first audio and the determined loudness of the background noise and plays back the ducked first audio concurrently with the second audio.