ASR Audio Quality Metrics for Mobile Subsystem Testing
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Solution Overview
Problem
Audio distortion caused by clipping, lost samples, or microphone frequency response non-linearity in mobile devices can significantly impact speech recognition accuracy, and existing solutions face challenges due to communication problems and corporate boundaries.
Innovation Solution
A method that allows manufacturers to enhance mobile device audio subsystems by recording standardized audio inputs, sending them to an automated speech recognition engine for processing, and generating audio quality metrics to assist in reconfiguration or redesign, thereby alleviating the burden on ASR or search engine operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manufacturers collaborate on audio subsystem design, then audio quality can be improved, but communication problems and corporate boundaries prevent effective collaboration
Solution Approach 1:
The patent introduces an automated speech recognition engine as an intermediary that objectively evaluates audio subsystem performance. This mediator processes audio recordings from mobile devices and generates standardized quality metrics, enabling manufacturers to improve audio quality without direct communication or collaboration, thus resolving the contradiction between improving audio quality and avoiding collaboration complexity.
2Measurement precision
If ASR engine operators test each new mobile device for compatibility, then speech recognition accuracy can be ensured, but this creates a significant operational burden
Solution Approach 1:
The patent implements preliminary action by having mobile device manufacturers perform audio subsystem testing and send recordings to the ASR engine before devices are widely deployed. This allows the ASR engine to pre-evaluate audio quality and generate feedback metrics, ensuring speech recognition accuracy is assessed in advance without requiring operators to test each new device individually, thus resolving the contradiction between measurement precision and productivity.
3Productivity
If manufacturers test and enhance audio subsystems independently, then testing burden on ASR operators is reduced, but audio quality issues may persist without proper feedback
Solution Approach 1:
The patent implements a feedback mechanism where the ASR engine analyzes audio recordings from mobile devices and generates standardized audio quality metrics that are relayed back to manufacturers. This feedback loop enables manufacturers to independently test and enhance audio subsystems while receiving actionable quality information, resolving the contradiction between testing efficiency and preventing loss of audio quality feedback.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing audio subsystem enhancement. In one aspect, a method includes: receiving a voice search query by an automatic speech recognition (ASR) engine that processes voice search queries for a search engine, wherein the voice search query includes an audio signal that corresponds to an utterance, and a test flag that indicates that an audio test is being performed; performing speech recognition on the audio signal to select one or more textual, candidate transcriptions that match the utterance; generating, in response to receiving the test flag, one or more audio quality metrics using the audio signal; and generating a response to the voice search query by the ASR engine, wherein the response references one or more of the candidate transcriptions and one or more of the audio quality metrics.