Audio Playback Latency Masking for Speech Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automatic speech recognition systems face challenges in accuracy and responsiveness due to defective or corrupted audio inputs and latency issues, leading to user dissatisfaction.
Innovation Solution
A method and apparatus that capture audio on a mobile device, transmit it to a server for recognition, and simultaneously play back the captured audio locally, masking latency and providing user guidance on improving audio quality by highlighting defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio is transmitted to a server for recognition, then speech recognition accuracy is improved, but system responsiveness deteriorates due to network latency
Solution Approach 1:
The system performs audio playback before the recognition result is available from the server. By playing back the captured audio immediately after capture (while still in the buffer), the system masks the perceived latency. The user hears the audio playback and then receives the recognition result without noticing the network transmission delay, as the playback has already occurred or is occurring concurrently.
2Reliability
If audio capture is continuous, then complete speech is captured, but defective or corrupted audio inputs increase
Solution Approach 1:
The system provides feedback to the user by playing back the captured audio before recognition. This allows the user to hear the actual audio quality and understand what was captured. The playback serves as feedback about the audio input quality, enabling the user to adjust their speaking or re-capture if necessary, thereby improving the reliability of the final recognition result.
3Speed
If audio processing is performed quickly, then system responsiveness is improved, but audio quality analysis becomes insufficient
Solution Approach 1:
The captured audio itself serves as an intermediary medium that provides information about audio quality. By playing back the audio, the system uses the audio signal as a mediator to convey quality information to the user without requiring complex automated quality analysis. The user's perception of the playback quality provides the assessment that would otherwise require sophisticated processing.
Data Source
AI summary
Audio input to a user device is captured in a buffer and played back to the user while being sent to and recognized by an automatic speech recognition (ASR) system. Overlapping the playback with the speech recognition processing masks a portion of the true latency of the ASR system thus improving the user's perception of the ASR system's responsiveness. Further, upon hearing the playback, the user is intuitively guided to self-correct for any defects in the captured audio.


