Neural Media Playback Adjustment for Accent and Noise Comprehension

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Solution Overview

Problem

Users face challenges in understanding media content due to language barriers, accents, and environmental noise, which affect the comprehension of audio and video content.

Innovation Solution

A media content optimizer utilizing neural networks to adjust playback speed and volume based on environmental and other factors, including language, accent, and background noise, to enhance user understanding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If media content is played at normal speed and volume, then the original content is preserved, but understanding is reduced due to language barriers, accents, and background noise

Engineering Contradiction:

Improvecomprehension accuracyVSAvoiduser understanding

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system dynamically changes playback parameters (speed and volume) based on analyzed factors such as language barriers, accents, and background noise levels. By adjusting these parameters in real-time, the system improves comprehension accuracy without requiring manual user intervention, thus resolving the contradiction between preserving original content and enhancing understanding.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system employs confidence analysis to continuously evaluate how well the user is likely to understand the media content. This feedback loop allows the system to adjust playback speed and volume dynamically, improving comprehension by adapting to the user's specific needs while maintaining the integrity of the original content.

Inventive Principle:

Principle #23Feedback

2Productivity

If playback speed is increased to improve understanding, then comprehension may improve, but understanding of complex content deteriorates

Engineering Contradiction:

Improveinformation processing speedVSAvoidcomprehension accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system dynamically adjusts playback speed based on real-time analysis of content complexity and user comprehension confidence. Rather than using a fixed speed increase, the system modulates speed adaptively - increasing it when content is simple and decreasing it when content is complex, thus maintaining both processing efficiency and comprehension accuracy.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes playback speed as a variable parameter rather than a fixed setting. By continuously analyzing semantic similarity and confidence metrics, the system optimizes playback speed to match the user's comprehension needs, preventing both too-fast and too-slow playback scenarios.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If semantic analysis is performed to adjust playback parameters, then comprehension is improved, but processing time increases

Engineering Contradiction:

Improvecomprehension accuracyVSAvoidprocessing delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs semantic analysis at selective intervals rather than continuously analyzing every segment of media content. By applying analysis only when necessary to detect significant changes in content complexity or confidence levels, the system maintains comprehension accuracy while minimizing unnecessary processing time and computational overhead.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20260088021A1Media engagement through deep learning

Publication Date: 2026.03.26 NVIDIA CORP

AI summary

Apparatuses, systems, and techniques to facilitate understanding of media content using neural networks to adjust playback speed and volume based on environmental and other factors. In at least one embodiment, playback of media content is slowed down or sped up if audio associated with said media content is difficult to understand based on background noise, accent, difficulty of material, as well as other factors that decrease understandability of media content.