SAMSUNG ELECTRONICS CO., LTD. (20240276143). SIGNAL NORMALIZATION USING LOUDNESS METADATA FOR AUDIO PROCESSING simplified abstract
Contents
SIGNAL NORMALIZATION USING LOUDNESS METADATA FOR AUDIO PROCESSING
Organization Name
Inventor(s)
Sunil Bharitkar of Stevenson Ranch CA (US)
SIGNAL NORMALIZATION USING LOUDNESS METADATA FOR AUDIO PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240276143 titled 'SIGNAL NORMALIZATION USING LOUDNESS METADATA FOR AUDIO PROCESSING
Simplified Explanation: This patent application describes a method for signal normalization, specifically for audio signals, using loudness metadata and machine learning to adjust the gain of the audio signal for playback.
- Extract loudness metadata from the audio signal.
- Estimate peak-level amplitude using a machine learning model.
- Determine gain based on the peak-level amplitude.
- Apply the gain to the audio signal for playback.
Key Features and Innovation:
- Utilizes loudness metadata to adjust audio signal gain.
- Machine learning model for estimating peak-level amplitude.
- Dynamic gain adjustment for optimal audio playback.
Potential Applications:
- Audio processing in electronic devices.
- Music production and mastering.
- Speech enhancement in communication devices.
Problems Solved:
- Inconsistent audio levels in different content.
- Ensuring optimal audio playback quality.
- Simplifying the process of signal normalization.
Benefits:
- Consistent audio levels across different content.
- Improved audio quality for users.
- Automated gain adjustment for convenience.
Commercial Applications: The technology can be applied in smartphones, tablets, smart speakers, and other electronic devices for enhanced audio playback quality, making it appealing to consumers who value a consistent and high-quality audio experience.
Prior Art: Prior art in the field of audio signal processing and normalization techniques can be found in research papers, patents, and academic publications related to machine learning in audio processing.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for audio signal processing, as well as developments in loudness normalization techniques in the audio industry.
Questions about Signal Normalization: 1. How does loudness metadata contribute to the signal normalization process? 2. What are the advantages of using machine learning for estimating peak-level amplitude in audio signal processing?
Original Abstract Submitted
one embodiment provides a method of signal normalization. the method comprises receiving an input content with a corresponding audio signal, and extracting loudness metadata from an audio signal corresponding to the input content. the method further comprises estimating, using a machine learning model, a peak-level amplitude based on the loudness metadata. the peak-level amplitude represents a maximum linear amplitude of the audio signal over an entire duration of the input content. the method further comprises determining a gain based at least on the peak-level amplitude, and applying the gain to the audio signal. the resulting gain-scaled audio signal is provided to one or more speakers coupled to or integrated in an electronic device for audio playback.
