Media Guidance Application Language Model Selection
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Solution Overview
Problem
Voice recognition systems often fail to recognize multiple languages and accents, leading to inadequate search results, as they are not designed to handle language-specific queries effectively.
Innovation Solution
A media guidance application that automatically and manually adjusts language settings based on user profiles, applying multiple language models to search queries to provide results in various languages and dialects, ranking them by relevance to the user's input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single language model is used for voice recognition, then the system complexity is low, but the system cannot recognize multiple languages and accents
Solution Approach 1:
The system dynamically selects and switches between different language models based on the detected language of the input query. Instead of using a fixed single language model, the system adapts its language model selection in real-time according to the language identification result, enabling multi-language support while maintaining operational simplicity through automated model switching.
Solution Approach 2:
The voice recognition system is designed to handle multiple languages by incorporating multiple language models (first language model and second language model) that can be applied to different queries. The system universally processes various languages through a unified architecture that automatically selects the appropriate language model based on the input language.
2Adaptability or versatility
If multiple language models are applied to all queries, then multi-language support is improved, but the processing time increases
Solution Approach 1:
The system segments the query processing into two distinct stages: first, language identification to determine which language the query is in; second, applying the appropriate language model based on the identified language. This segmentation avoids the need to process all queries through multiple language models simultaneously, thereby reducing processing time while maintaining multi-language support.
Solution Approach 2:
The system performs preliminary language identification before applying the specific language model for search processing. By determining the query language in advance, the system can pre-select the appropriate language model, avoiding the time-consuming process of evaluating multiple language models during the actual search operation.
3Measurement precision
If voice recognition is designed for a specific language, then recognition accuracy is high, but the system cannot provide results in other languages
Solution Approach 1:
The system introduces language identification as an intermediary component that bridges the gap between the user's spoken language and the appropriate language model. This intermediary step enables the system to maintain high recognition accuracy by routing queries to the correct language model while simultaneously expanding language coverage to support multiple languages through automated model selection.
Data Source
AI summary
Systems and methods for a media guidance application that generates results in multiple languages for search queries. In particular, the media guidance application ranks search results according the language model associated with the search result.