Voice-Enabled Remote Language Detection for Media Selection
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Solution Overview
Problem
Users face difficulties in finding and accessing media content in their native language when using unfamiliar television or set-top boxes, especially in temporary accommodations like hotels, due to the lack of efficient language detection and presentation systems.
Innovation Solution
A system that uses a voice-enabled remote-control device and a spoken language detection manager to automatically detect the user's language and electronically present media, such as television channels and program guides, in the detected language, by integrating speech recognition and language detection capabilities within the receiving device and remote-control device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search through channels and program guides to find media in their language, then they can access media content, but it requires significant time and effort
Solution Approach 1:
The system performs preliminary language detection by analyzing the user's spoken language before media selection. The spoken language detection manager captures and analyzes audio input to identify the user's preferred language, preparing the system to automatically filter and present appropriate media content without requiring manual searching.
Solution Approach 2:
The system serves itself by automatically detecting the user's language and selecting appropriate media content without human intervention. The electronic program guide manager autonomously filters channels and programs based on detected language preferences, and the system automatically presents tailored media selections to the user.
2Adaptability or versatility
If the system provides multiple language options in the electronic program guide, then users can find their language, but the interface becomes more complex and harder to navigate
Solution Approach 1:
The system applies local quality by customizing the electronic program guide interface based on the detected user language. Instead of providing all language options simultaneously, the system tailors the interface to display content primarily in the user's detected language, with language switching capabilities available but not prominently displayed, simplifying the overall interface while maintaining multi-language support.
Solution Approach 2:
The system achieves universality by designing the electronic program guide to handle multiple languages through a single unified interface. The interface automatically adapts to the user's language preferences while maintaining consistent functionality, allowing the same interface structure to serve users of different languages without requiring separate interface designs.
3Ease of operation
If the system automatically detects language and presents media, then user convenience is improved, but the system requires additional detection and processing capabilities
Solution Approach 1:
The system introduces intermediaries in the form of dedicated managers: the spoken language detection manager that handles audio capture and language identification, and the electronic program guide manager that processes language preferences and filters media content. These intermediary components bridge the gap between user input and media selection, automating the process while managing system complexity through modular architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to immediately access media in their understood language without manually searching through channels or program guides, enhancing the viewing experience for international travelers by providing tailored content based on spoken language detection.
Implementation Method 1
The audio processing logic is operable to perform speech recognition on the audio data that identifies a language being spoken by the user
Data Source
AI summary
Various embodiments provide media based on a detected language being spoken. In one embodiment, the system electronically detects which language of a plurality of languages is being spoken by a user, such during a conversation or while giving a voice command to the television. Based on which language of a plurality of languages is being spoken by the user, the system electronically presents media to the user that is in the detected language. For example, the media may be television channels and/or programs that are in the detected language and/or a program guide, such as a pop-up menu, including such media that are in the detected language.