Voice-Matched Media Notifications for Distraction-Free Immersion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional notification systems disrupt media consumption by delivering notifications in a distracting and invasive manner, breaking user immersion.
Innovation Solution
A notification delivery application generates synthesized speech that mimics the voice of the media content, outputting notifications seamlessly within the media asset by analyzing voice characteristics and contextual features to ensure a natural transition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional notification systems deliver notifications through external displays or audio, then notifications are delivered to users, but user immersion in media content is broken and distraction occurs
Solution Approach 1:
The notification system merges the notification delivery with the media playback stream by inserting synthesized notification speech directly into the media audio output. The notification is combined with the media content so that both the media and notification are delivered through the same audio channel, eliminating the need for separate notification displays or audio outputs that would distract the user.
Solution Approach 2:
The system creates a copy of the media content's voice characteristics by analyzing the voice in the media asset and generating a voice model. This voice model is then used to synthesize the notification speech, making the notification sound like it originates from the media content itself rather than from an external notification system.
2Object-affected harmful factors
If notifications are integrated within media content, then user immersion is maintained, but the complexity of notification delivery increases
Solution Approach 1:
The system performs preliminary voice analysis on the media asset to extract voice characteristics and generate a voice model before notification delivery. This pre-processing of the media content's voice allows the notification system to quickly synthesize notifications that match the media's voice without requiring complex real-time analysis during notification delivery.
Solution Approach 2:
The system introduces a voice model as an intermediary between the notification content and the media playback. The voice model acts as a mediator that transforms the notification text into speech that matches the media's voice characteristics, simplifying the integration process by handling the voice matching separately from the notification delivery timing and positioning.
3Object-affected harmful factors
If synthesized speech is used to match media voice, then seamless integration is achieved, but processing time and computational resources increase
Solution Approach 1:
The system extracts voice characteristics and generates the voice model in advance, before notification delivery is needed. This pre-processing approach allows the computationally intensive voice analysis to be performed once during media playback setup, rather than repeatedly for each notification, significantly reducing the processing time required for actual notification delivery.
Data Source
AI summary
Systems and methods for providing notifications without breaking media immersion. A notification delivery application receives notification data while a media device provides a media asset. In response to receiving the notification data while the media device provides the media asset, the notification delivery application generates a voice model based on a voice detected in the media asset. The notification delivery application converts the notification data to synthesized speech using the voice model and generates, by the media device, the synthesized speech for output at an appropriate point in the media asset based on contextual features of the media asset.