Moodagent A/S (20240213943). DYNAMIC AUDIO PLAYBACK EQUALIZATION USING SEMANTIC FEATURES simplified abstract
DYNAMIC AUDIO PLAYBACK EQUALIZATION USING SEMANTIC FEATURES
Organization Name
Inventor(s)
Peter Berg Steffensen of Copenhagen K (DK)
Mikael Henderson of Copenhagen K (DK)
Nick Jensen of Copenhangen (DK)
DYNAMIC AUDIO PLAYBACK EQUALIZATION USING SEMANTIC FEATURES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240213943 titled 'DYNAMIC AUDIO PLAYBACK EQUALIZATION USING SEMANTIC FEATURES
Simplified Explanation: This patent application describes a method and system for optimizing audio playback by dynamically equalizing an audio signal based on high-level feature values representing semantic characteristics of the audio signal.
- The method involves using a high-level feature vector to determine a frequency response profile for the audio signal.
- This frequency response profile is then applied to the audio signal to produce an equalized audio signal for playback through an audio interface.
Key Features and Innovation:
- Dynamic equalization of audio signals based on semantic characteristics.
- Use of high-level feature values to determine frequency response profiles.
- Application of frequency response profiles to produce equalized audio signals.
Potential Applications:
- Audio enhancement in music production.
- Improving speech clarity in audio recordings.
- Customizing audio playback based on semantic characteristics.
Problems Solved:
- Inconsistent audio quality due to varying semantic characteristics.
- Lack of personalized audio equalization options.
- Difficulty in optimizing audio playback for different types of content.
Benefits:
- Enhanced audio quality.
- Personalized audio equalization.
- Improved user experience in audio playback.
Commercial Applications: Optimizing audio playback for various industries such as music production, broadcasting, and telecommunications can lead to improved audio quality and user satisfaction.
Questions about Audio Equalization: 1. How does dynamic equalization based on semantic characteristics improve audio quality? 2. What are the potential drawbacks of using high-level feature values for audio equalization?
Original Abstract Submitted
a method and system for optimizing audio playback by dynamically equalizing an audio signal, using an associated high-level feature vector with high-level feature values representing semantic characteristics of the audio signal, for determining a frequency response profile and applying the frequency response profile to the audio signal to produce an equalized audio signal for playback through an audio interface.
