Vehicle Radio Speech Processing via Contextual Vocabulary
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Solution Overview
Problem
Conventional systems for language processing with radio devices are ineffective in processing speech inputs for controlling radio functions in vehicles, particularly due to limited processing power and lack of contextual information about radio stations and media.
Innovation Solution
The system receives radio broadcast information and modifies the vocabulary accordingly, allowing for accurate interpretation of speech inputs to control radio devices within vehicles by transmitting user intents to a secondary electronic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional speech processing systems are used in vehicles, then device complexity is reduced, but language processing accuracy deteriorates due to lack of contextual information about radio stations and media
Solution Approach 1:
The patent introduces a digital assistant as an intermediary component that bridges the speech processing system and the radio device. The digital assistant receives speech inputs, accesses contextual information about radio stations and media through a vocabulary module, and translates user intent into device-specific commands. This intermediary approach improves language processing accuracy without requiring the radio device itself to become more complex.
Solution Approach 2:
The patent adds a new dimension to the speech processing system by incorporating contextual information from radio broadcast data and media metadata. Instead of processing only raw speech signals, the system now operates in an enhanced dimensional space that includes contextual knowledge about available radio stations, genres, and media content, thereby improving accuracy without fundamentally changing the core radio device.
2Ease of operation
If speech inputs are used to control radio functions in vehicles, then ease of operation is improved, but reliability deteriorates due to limited processing power and lack of contextual information
Solution Approach 1:
The system performs preliminary actions by pre-loading and maintaining a vocabulary of radio station names, genres, and media metadata before speech inputs are received. This pre-prepared contextual information is stored and readily accessible when the user provides speech commands, ensuring reliable interpretation even in the limited processing environment of a vehicle radio system.
Solution Approach 2:
The patent replaces direct mechanical processing of speech commands by the radio device with an intelligent software-based digital assistant that uses natural language processing algorithms. This substitution allows for more robust and reliable interpretation of speech inputs by leveraging contextual understanding rather than simple keyword matching, improving reliability while maintaining ease of operation.
3Adaptability or versatility
If radio broadcast information is integrated into speech processing, then adaptability is improved, but device complexity increases due to vocabulary modification requirements
Solution Approach 1:
The patent segments the vocabulary processing function into a separate digital assistant module that operates independently from the core radio device. The vocabulary of radio stations and media metadata is maintained and modified in this separate module, allowing the radio device to remain simple while gaining adaptive capabilities through the integrated digital assistant that can interpret speech inputs in the context of available radio content.
Data Source
AI summary
Systems and processes for language processing with radio devices are provided. For example, radio broadcast information is received at a first electronic device, and a vocabulary is modified based on the received radio broadcast information. A speech input is received from a user of the first electronic device. A user intent of the speech input is obtained based on the modified vocabulary. A request is transmitted, based on the user intent, to a second electronic device.