Television Audio Separation for Independent Voice Volume Control
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Solution Overview
Problem
Existing televisions cannot independently adjust the volume of specific audio components, such as human voice or musical instruments, within a video sound, limiting user control and audio enjoyment.
Innovation Solution
A television system comprising a remote control, a receiving element, a speech analysis model, and a processor that analyzes audio using Fourier transforms and mask information to isolate and adjust the volume of specific audio components, allowing real-time processing and output of desired audio sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the volume of existing television is adjusted, then all sounds in the video sound are increased or decreased synchronously, but it is impossible to adjust the volume of a single sound
Solution Approach 1:
The patent segments the audio signal into multiple independent components (e.g., human voice, music, background sound) using speech analysis models and mask information. Each component can be independently identified and adjusted, allowing users to control specific sounds separately while maintaining overall volume control capability.
Solution Approach 2:
The system dynamically adjusts the volume of different audio components based on user selection and real-time analysis. The speech analysis model continuously processes the video sound to identify and separate different audio elements, enabling dynamic and flexible volume control for each component independently.
2Productivity
If speech analysis model processes video sound in real-time, then user audio needs are met promptly, but processing complexity increases
Solution Approach 1:
The speech analysis model is pre-trained and configured with mask information before real-time processing. The system performs preliminary analysis to identify different audio components and their characteristics, storing this information for rapid retrieval and adjustment during real-time operation, thus reducing the computational burden during live processing.
Solution Approach 2:
The patent introduces mask information as an intermediary element that facilitates the separation of audio components. The mask information acts as a intermediary representation that simplifies the complex task of real-time audio segmentation, enabling the speech analysis model to efficiently identify and process different sound components without excessive computational complexity.
Data Source
AI summary
A television includes a remote control, a receiving element, a speaker, a speech analysis model, and a processor. The processor analyzes video sound to get a repeated audio section after receiving a volume adjustment command from the remote control. Then, the speaker outputs the repeated audio. So that, according to user needs, the television adjusts the video sound before outputting.