Selective Audio Playback for Muting Unwanted Voices
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Solution Overview
Problem
Conventional entertainment systems do not allow users to dynamically adjust audio features based on personal preferences, leading to distractions from unwanted sounds during media consumption, such as background noise or specific commentators, which disrupt the user's experience.
Innovation Solution
A system that separates audio and video streams, identifies and catalogs sounds, and adjusts output characteristics based on user preferences by muting, converting, or filtering out unwanted sounds, using speech analysis and metadata to synchronize desired audio segments with the video stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual muting is used to prevent unwanted sounds, then unwanted sounds are blocked, but user operation complexity increases due to constant remote inputs required
Solution Approach 1:
The system automatically identifies and mutes unwanted sounds without requiring continuous user intervention. The audio processing system continuously monitors the audio stream, identifies unwanted sounds based on user preferences, and automatically adjusts their output characteristics, enabling the system to serve itself rather than requiring constant manual control.
Solution Approach 2:
The system uses feedback from audio analysis to dynamically adjust audio output. By continuously analyzing the audio stream and comparing it against user preferences stored in the system, the audio processing automatically makes real-time adjustments to mute or attenuate unwanted sounds while preserving desired audio content.
2Adaptability or versatility
If conventional entertainment systems are used, then simple playback is provided, but user personalization capability is lost
Solution Approach 1:
The audio stream is segmented into multiple audio tracks, each corresponding to different sound sources or types (e.g., commentary, background noise, crowd cheering). This segmentation allows the system to apply different processing characteristics to different audio segments based on user preferences, enabling personalization without requiring complete system redesign.
Solution Approach 2:
The system dynamically adjusts audio output characteristics based on real-time audio analysis and user preferences. Rather than static audio processing, the system continuously adapts the audio stream by identifying unwanted sounds and adjusting their characteristics on-the-fly, providing personalization capability while maintaining manageable system complexity through dynamic adaptation.
3Adaptability or versatility
If audio segments are identified and processed separately, then selective audio control is achieved, but processing time increases
Solution Approach 1:
User preferences for audio processing are established in advance before media playback begins. The system pre-configures which sound types or sources the user wants to mute or attenuate, so that during playback, the audio processing can quickly match incoming audio segments against these pre-set preferences without requiring complex real-time decision-making, thus reducing processing time.
Data Source
AI summary
Systems and methods are presented for providing to filter unwanted sounds from a media asset. Voice profiles of a first character and a second character are generated based on a first voice signal and a second voice signal received from the media device during a presentation. The user provides a selection to avoid a certain sound or voice in association with the second character. During a presentation of the media asset, a second audio segment is analyzed to determine, based on the voice profile of the second character, whether the second voice signal includes the voice of a second character. If so, the second voice signal output characteristics are adjusted to reduce the sound.