Mobile Terminal Voice Collection Adaptation
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Solution Overview
Problem
Current speech recognition technologies in mobile terminals face challenges in distinguishing user voice from ambient noise, especially at longer distances, leading to decreased recognition rates due to the inability to selectively choose the most appropriate voice collection apparatus based on the user's proximity and motion status.
Innovation Solution
A method and system that dynamically select a voice collection apparatus, either a microphone array or a wearable voice collection apparatus, based on the distance and orientation/motion status of the mobile terminal, to improve speech recognition accuracy by using sensors to determine the optimal apparatus for voice collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a microphone array is used for voice collection, then noise suppression capability is improved, but recognition rate deteriorates when user distance is long
Solution Approach 1:
The system dynamically switches between microphone array and wearable voice collection apparatus based on detected user distance and motion status. When user distance exceeds threshold or motion is detected, the system transitions to wearable apparatus; otherwise it uses microphone array, making the voice collection system adaptive rather than static.
Solution Approach 2:
The system changes the operational parameters by selecting different voice collection apparatus based on distance and motion parameters. This parameter-based selection allows optimization of recognition rate across different usage scenarios by adjusting which apparatus is active.
2Power
If microphone array performs synchronous addition operation, then target voice strengthening is improved, but distinction between user voice and ambient noise deteriorates at long distance
Solution Approach 1:
The wearable voice collection apparatus acts as an intermediary that collects voice directly from the user's body, bypassing the need for long-distance air transmission. This intermediary approach preserves voice quality and distinction accuracy even when user distance from mobile terminal is long.
3Extent of automation
If mobile terminal processes voice signals, then speech recognition function is improved, but recognition rate deteriorates when user is at distance
Solution Approach 1:
The wearable voice collection apparatus performs preliminary voice collection close to the user's body before transmission to the mobile terminal. This preliminary action ensures high-quality voice capture that maintains recognition rate even when the user is at distance from the terminal during processing.
Data Source
AI summary
A speech recognition method and a mobile terminal relate to the field of electronic and information technologies, and can flexibly perform speech collection and improve a speech recognition rate. The method includes acquiring, by a mobile terminal, an orientation/motion status of the mobile terminal, and determining, according to the orientation/motion status, a voice collection apparatus for voice collection; acquiring, by the mobile terminal, a speech signal from the voice collection apparatus; and recognizing, by the mobile terminal, the speech signal. The present disclosure is applied to a scenario in which the mobile terminal performs speech recognition.