Speech Recognition Apparatus with Device-Specific Dictionary Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional speech recognition apparatuses face inefficiencies and reduced recognition rates due to the inability to adapt to varying vocabulary needs across different externally connected devices, leading to increased processing time and erroneous recognition.
Innovation Solution
The apparatus includes an external information acquiring section to identify and acquire data from connected devices, a vocabulary extracting and analyzing section to produce analysis data, and a dictionary generating section that stores this data in device-specific dictionaries, allowing for automatic switching between dictionaries based on device type for efficient speech recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single speech recognition dictionary is used for all externally connected devices, then the device complexity is reduced, but the speech recognition rate decreases and processing time increases due to varying vocabulary needs across different devices
Solution Approach 1:
The patent divides the speech recognition dictionary into multiple device-specific dictionaries (first speech recognition dictionary for mobile phones, second speech recognition dictionary for other devices). This segmentation allows each dictionary to be optimized for its target device's vocabulary patterns, improving recognition accuracy without significantly increasing overall system complexity through modular organization.
Solution Approach 2:
The patent applies different dictionary structures and vocabulary selections to different device types. The first speech recognition dictionary is tailored for mobile phone terminology and messaging patterns, while the second dictionary is optimized for other externally connected devices. This local quality approach ensures each dictionary has the specific characteristics needed for its target application context.
2Adaptability or versatility
If a single speech recognition dictionary with all words is maintained, then comprehensive vocabulary coverage is achieved, but the processing time increases and search efficiency decreases
Solution Approach 1:
By segmenting the comprehensive vocabulary into device-specific subsets, the patent reduces the average search space for each recognition task. The speech recognition apparatus only searches the relevant dictionary for the connected device type, significantly reducing processing time while maintaining comprehensive coverage across all device types through the collection of multiple dictionaries.
Solution Approach 2:
The patent implements dynamic dictionary selection based on the type of externally connected device. The system automatically switches between the first and second speech recognition dictionaries according to device identification, creating a dynamic adaptation mechanism that optimizes processing efficiency for each specific use case while maintaining overall vocabulary versatility.
3Reliability
If the speech recognition dictionary is updated with all extracted vocabulary items, then the recognition rate improves, but the processing time for future recognitions increases due to larger dictionary size
Solution Approach 1:
The patent segments vocabulary updates into device-specific categories. When new vocabulary is extracted from externally connected devices, it is added only to the appropriate dictionary (first or second) based on device type. This prevents unnecessary expansion of unrelated dictionaries, maintaining optimal processing speeds while improving recognition rates for the specific device context through targeted vocabulary enrichment.
Data Source
AI summary
A voice recognition apparatus 10, which performs voice recognition of an input voice by referring to a voice recognition dictionary and outputs a voice recognition result, has an external information acquiring section 14 for acquiring from externally connected devices 20-1-20-N connected thereto a type of each externally connected device, and for acquiring data recorded in each externally connected device; a vocabulary extracting analyzing section 15 and 16 for extracting a vocabulary item from the data as an extracted vocabulary item, and for producing analysis data by analyzing the extracted vocabulary item and by providing the extracted vocabulary item with reading; and a dictionary generating section 17 for storing the analysis data in the voice recognition dictionary corresponding to the type. For each type of the externally connected devices, one of the voice recognition dictionaries 13-1-13-N is assigned.