Voice Interaction Audio Ducking for Noisy Media Playback
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Solution Overview
Problem
Ambient noise, such as music or other audio content, interferes with voice interactions and conversations, making it difficult for voice services and human communication to comprehend voice inputs and responses effectively.
Innovation Solution
A media playback system that dynamically adjusts audio playback by ducking, compressing, or equalizing audio content based on background noise levels to improve the signal-to-noise ratio for voice inputs, using networked microphone devices and playback devices to detect events and adjust audio levels accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If audio content is played back at high loudness to enhance listening experience, then entertainment quality is improved, but voice input comprehension deteriorates due to noise interference
Solution Approach 1:
The system dynamically adjusts audio playback parameters in real-time based on detected voice inputs. When a voice input is detected, the system temporarily reduces the loudness of audio content and applies equalization filters to create a clearer frequency spectrum for voice comprehension. This dynamic adaptation allows the system to switch between entertainment mode and voice interaction mode seamlessly.
Solution Approach 2:
The system changes audio playback parameters including loudness level, equalization settings, and frequency spectrum distribution. By adjusting these parameters based on the presence of voice inputs, the system optimizes the signal-to-noise ratio for voice comprehension while maintaining high-quality audio playback during normal listening conditions.
2Ease of operation
If audio content is played back to provide entertainment, then user experience is enhanced, but interference with voice interactions increases
Solution Approach 1:
The system proactively reduces audio playback intensity and applies equalization filters before voice inputs are fully processed. By detecting the onset of voice inputs and preemptively adjusting audio parameters, the system prevents noise interference from degrading voice comprehension, thereby maintaining both entertainment quality and voice interaction reliability.
Solution Approach 2:
The system continuously monitors the audio environment for voice inputs and adjusts playback parameters accordingly. This feedback mechanism allows the system to maintain optimal settings for both entertainment and voice interaction by responding to real-time conditions in the acoustic environment.
3Measurement precision
If equalization is applied to reduce noise interference, then voice comprehension is improved, but audio quality may be degraded
Solution Approach 1:
The system dynamically applies equalization filters only when voice inputs are detected, rather than continuously. During normal audio playback, the full frequency spectrum is preserved for high-quality entertainment. When voice interaction is needed, the system temporarily applies equalization to enhance voice frequencies and reduce noise, then restores the original audio characteristics afterward.
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.