Voice Recognition Synchronization Using Pre-Action Buffering
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Solution Overview
Problem
Automatic speech recognition systems face challenges in synchronizing with user voice sequences in 'hands-free' environments, leading to recognition errors due to imperfect synchronization between the user's actions and the start and end of vocal sequences.
Innovation Solution
The method involves processing voice segments from a given instant preceding the user's action, using a delay line to retroactively transmit segments and validate voice activity detections within specific time intervals, ensuring accurate recognition without introducing significant delays or increased computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses Push-to-Talk device to trigger voice recognition processing, then false alerts are avoided and recognition accuracy improves, but voice sequences that start before or continue after the key action are truncated causing recognition errors
Solution Approach 1:
The system performs preliminary voice activity detection and buffers voice segments before the actual recognition processing is triggered. When the Push-to-Talk action occurs, the system already has pre-captured voice data ready, allowing it to process the complete voice sequence without truncation at the beginning. This resolves the contradiction by preparing the system in advance to capture the full voice input.
Solution Approach 2:
The system dynamically adjusts the recognition processing timing based on detected voice activity rather than strictly following the Push-to-Talk trigger moment. Voice activity detection continuously monitors the input stream and identifies when actual speech occurs, allowing the system to start processing at the appropriate moment regardless of when the key was pressed. This dynamic adjustment prevents both premature and delayed processing that would cause truncation.
2Measurement precision
If the system processes voice segments from a given instant preceding the user's action, then recognition errors due to late triggering are reduced, but processing delay increases
Solution Approach 1:
The system performs partial processing by buffering only a limited time window of voice segments preceding the trigger action, rather than processing from the very beginning of potential speech. This selective buffering of a reasonable time interval (not excessively long) captures the necessary pre-action voice data while limiting the processing delay to an acceptable level. The system applies excessive action in capturing data but controls the processing scope to balance accuracy and delay.
Solution Approach 2:
The system uses voice activity detection to automatically identify when actual speech occurs within the buffered period, eliminating the need for manual timing adjustment. The voice activity detection mechanism self-regulates the processing start time based on actual speech patterns, allowing the system to utilize pre-captured segments effectively without introducing unnecessary delays. This self-service approach optimizes the balance between using historical data and maintaining real-time performance.
Data Source
Figure 1(a)~2
Figure 3~4(b)
AI summary
The invention concerns a method for synchronization between a processing operation by automatic speech recognition of a voice sequence (Sv) emitted by a speaker and at least one action of said speaker designed to trigger said processing. The invention is characterized in that the processing operation is performed as from a given time (t0) preceding said speaker's action. The invention is applicable to automatic speech recognition.