Genre-Matched Voice Feedback for Media Playback Interaction
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Solution Overview
Problem
The challenge of finding or selecting desired media content while travelling is difficult due to limited user interaction capabilities and the lack of personalized voice feedback, which can detract from the listening experience.
Innovation Solution
A media playback system that stores multiple voice recordings from different artists, processes them using AI to generate varied feedback, and selects appropriate recordings based on musical and listener characteristics for enhanced interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a computerized voice interface (e.g., Siri) is used for media playback, then user interaction is enabled, but the listening experience is detracted due to lack of personalization
Solution Approach 1:
The patent applies local quality by assigning different voice characteristics to different music genres. Each genre (rock, jazz, classical, etc.) has its own customized voice artist recording with specific tone, style, and personality traits matched to that genre, creating a localized personalized experience for each musical context rather than a uniform computerized voice
Solution Approach 2:
The system changes the parameter of voice characteristics by selecting from multiple pre-recorded voice artists with different styles, tempos, and tones. The playback device dynamically changes which voice recording is used based on the detected music genre, transforming the static computerized voice into a dynamic, adaptable voice feedback system
2Adaptability or versatility
If multiple voice recordings from different artists are stored and processed, then personalized feedback is achieved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-recording and storing multiple voice artist recordings for different music genres before actual playback. The voice feedback library is prepared in advance with genre-specific recordings, so that during playback the system only needs to retrieve and play the appropriate pre-prepared recording rather than generating voice feedback in real-time, reducing processing complexity
Solution Approach 2:
The system uses copied voice recordings from multiple artists instead of generating synthetic voice feedback. By storing actual recordings from different voice artists and selecting among them, the system achieves personalization through copying existing human performances rather than creating new synthetic content, simplifying the processing requirements
Data Source
AI summary
A method of providing voice feedback includes storing multiple different voice feedback recordings in at least one computer-readable storage device. The method further includes receiving a listener command corresponding to a musical selection. The method further includes determining, with a processing device, an identifying musical characteristic of the musical selection. The method further includes selecting a first voice feedback recording from the multiple different voice feedback recordings, using the processing device. The first voice feedback recording corresponds to the identifying musical characteristic. The method further includes causing playback of the first voice feedback recording and the musical selection via a media playback system.