Audio Stream Tagging for Content-Specific Equalization
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Solution Overview
Problem
Existing audio players lack the ability to differentiate between various forms of content in audio streams and adapt the rendering accordingly, leading to suboptimal user experience when switching between music playback and voice responses.
Innovation Solution
The audio player is equipped with the capability to label audio streams with digital tags indicating the type of content, allowing it to apply different equalization profiles and rendering settings based on the content type, ensuring optimal audio quality and user understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the audio player uses a single equalization profile for all audio content, then the device complexity is reduced, but the audio quality and user understanding deteriorate when switching between music and voice responses
Solution Approach 1:
The patent segments audio content into distinct types (music, voice responses, etc.) using digital tags. Each content type is then processed with its own equalization profile, allowing the system to apply different rendering settings to different segments of audio content based on their type classification.
Solution Approach 2:
The patent applies local quality by using digital tags to identify specific portions of audio streams and applying content-specific equalization profiles to those portions. This ensures that each segment of audio content receives the appropriate rendering treatment tailored to its type, rather than a uniform approach across all content.
2Manufacturing precision
If the audio player applies different equalization profiles for different content types, then the audio quality and user understanding are improved, but the device complexity increases
Solution Approach 1:
The patent introduces digital tags as an intermediary element that facilitates the connection between audio content and appropriate equalization profiles. These tags act as mediators that carry content type information, enabling the system to automatically select and apply the correct rendering settings without requiring complex analysis of the audio content itself.
Solution Approach 2:
The patent changes the parameter of audio rendering by dynamically switching between different equalization profiles based on content type identification. The system modifies rendering parameters (equalization settings) in response to detected content type changes, allowing precise control over audio output characteristics for different content categories.
3Ease of operation
If the audio player dynamically switches equalization settings based on content type, then the user experience is enhanced, but the processing time and system complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-tagging audio content with digital identifiers before playback. This preparation work is done in advance, allowing the system to quickly identify content type and switch to the appropriate equalization profile without requiring complex real-time analysis during playback, thus minimizing processing delays.
Data Source
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AI summary
An audio playback system performs a method including identifying a first type of audio included in a first audio stream, tagging the first audio stream with a first digital tag corresponding to the first type of audio, identifying a second type of audio included in a second audio stream, tagging the second audio stream with a second digital tag corresponding to the second type of audio, rendering the first audio stream with a first equalization profile applied thereto, the first equalization profile selected responsive to the audio playback system detecting the first digital tag in the first audio stream, and rendering the second audio stream with a second equalization profile different than the first equalization profile applied thereto, the second equalization profile selected responsive to the audio playback system detecting the second digital tag in the second audio stream.