Smart-Home Speech Recognition Dictionary Convolution
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Solution Overview
Problem
Smart home devices face challenges in accurately recognizing voice commands due to the unique acoustic properties of different environments, which cause interference and reduce the effectiveness of pre-existing speech recognition systems.
Innovation Solution
Generating custom speech dictionaries by convolving an acoustic impulse response with a master speech dictionary, specific to each enclosure and user, to improve speech recognition accuracy in various environments and user-specific contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pre-existing speech recognition system is used in smart home devices, then the device can provide automated control functions, but the speech recognition accuracy deteriorates due to unique acoustic properties of different enclosures causing interference
Solution Approach 1:
The system performs preliminary measurements of the enclosure's acoustic impulse response during installation or initialization. These measurements are stored and used later to compensate for environmental effects on speech recognition, allowing the system to adapt to specific acoustic characteristics before actual speech recognition tasks begin.
Solution Approach 2:
The system changes the speech dictionary parameters by convolving the original speech dictionary with the measured acoustic impulse response of the specific enclosure. This creates a customized speech dictionary that accounts for the unique acoustic properties of each installation environment, thereby improving recognition accuracy without requiring complex real-time processing.
2Measurement precision
If custom speech dictionaries are generated for each enclosure, then speech recognition accuracy improves, but the device complexity increases due to additional processing and storage requirements
Solution Approach 1:
The computationally intensive task of generating custom speech dictionaries is performed in advance during installation or initialization. The customized dictionaries are then stored in memory for reuse during normal operation, avoiding the need for complex real-time processing during actual speech recognition tasks.
Solution Approach 2:
Instead of performing complex convolutions during real-time speech recognition, the system creates copies of the speech dictionary that are pre-adapted to the specific enclosure. These copied and customized dictionaries are stored and directly applied during recognition, simplifying the real-time processing requirements while maintaining high accuracy.
Data Source
AI summary
A method for customizing speech-recognition dictionaries for different smart-home environments may include generating, at a smart-home device mounted in an enclosure, an acoustic impulse response for the enclosure. The method may also include receiving, by the smart-home device, an audio signal captured in the enclosure. The method may additionally include performing, by the smart-home device, a speech-recognition process on the audio signal using a second speech dictionary generated by convolving the acoustic impulse response with a first speech dictionary.