Voice Assistant Audio Effects via AI Sentiment Analysis
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Solution Overview
Problem
Current voice command systems for computers lack the ability to dynamically alter audio presentations based on user context and sentiment, limiting their effectiveness in creating immersive and contextually relevant audio experiences.
Innovation Solution
A method that utilizes artificial intelligence algorithms to receive audio data and user-defined sentiments, applying appropriate audio effects and added sounds to treat the audio data and present it in a way that evokes the intended sentiment, while also allowing for voice commands to control audio effects and added sounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice commands are used to control audio presentations, then user convenience is improved, but the ability to dynamically alter audio based on user context and sentiment is lost
Solution Approach 1:
The system automatically analyzes user context and sentiment to determine appropriate audio effects without requiring explicit voice commands for each adjustment. The voice command initiates the process, but the system self-determines the specific audio treatment based on contextual analysis, combining ease of operation with dynamic adaptability.
Solution Approach 2:
The system continuously monitors user context and sentiment, using this feedback to dynamically adjust audio effects in real-time. This creates a closed-loop system where audio presentation adapts to changing user states without requiring repeated manual commands.
2Productivity
If audio effects are applied to treat audio data, then user engagement is improved, but system complexity increases
Solution Approach 1:
The audio treatment system is divided into separate modular components: context analysis module, sentiment detection module, audio effect selection module, and audio processing module. This segmentation allows each component to be developed, tested, and optimized independently, managing overall system complexity while enabling sophisticated audio treatment.
Solution Approach 2:
An intermediary audio processing layer is introduced between the raw audio source and the user's auditory experience. This intermediary layer handles all the complexity of effect application and treatment, shielding the user from system complexity while delivering engaging audio experiences.
Data Source
AI summary
Voice command type entry used as a basis for applying “audio effects” (see definition herein), “sound effects” (see definition herein) and/or audio edits (see definition herein) to a sound signal. This may be done so that the various types of instructed audio processing evoke, in typical listeners, a desired sentiment or mood. Artificial intelligence may be used to accomplish this objective.