Query Filter Audio File Classification for Speech Recognition
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Solution Overview
Problem
Speech recognition engines face efficiency limitations and potential failures due to high CPU and memory intensity, and existing solutions such as allocating additional resources or randomly dropping queries are not optimal.
Innovation Solution
A query filter is configured to determine whether an audio file is a first type or a second type based on its characteristics, using guidance queries to filter audio files and improve the efficiency of speech recognition processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speech recognition processing is applied to all audio files, then recognition accuracy is maintained, but processing speed decreases and CPU/memory load increases
Solution Approach 1:
The patent segments audio files into two categories: first type audio files that can be processed without speech recognition (e.g., containing only background noise or non-speech sounds) and second type audio files that require speech recognition processing. This segmentation allows the system to apply speech recognition only where necessary, improving processing speed while maintaining recognition accuracy for relevant files.
Solution Approach 2:
The patent applies partial action by performing speech recognition processing only on a portion of audio files (second type) rather than all audio files. The query filter determines which files require processing based on their characteristics, applying speech recognition selectively to avoid unnecessary processing overhead while ensuring accurate recognition when needed.
2Productivity
If additional CPU and memory resources are allocated to speech recognition engine, then processing capacity increases, but system cost and complexity increase
Solution Approach 1:
The patent implements preliminary action through the query filter, which analyzes audio file characteristics before the speech recognition engine processes them. By pre-filtering audio files to identify first type files that don't require speech recognition, the system avoids unnecessary processing loads on the speech recognition engine, effectively increasing processing capacity without adding CPU or memory resources.
3Productivity
If speech recognition processing is skipped for first type audio files, then processing speed increases, but recognition completeness may decrease
Solution Approach 1:
The patent implements feedback through the query filter that continuously monitors audio file characteristics and determines whether each file requires speech recognition processing. This feedback mechanism ensures that first type audio files (which don't require recognition) are identified and processed quickly, while second type audio files are routed for full speech recognition processing, maintaining recognition completeness without sacrificing processing speed.
Data Source
AI summary
A device may be configured to determine whether an audio file is a first type of audio file that is capable of being processed to recognize the voice query based on a characteristic of the audio file itself or a second type of audio file that may require speech recognition processing in order to recognize the voice query associated with the audio file. In determining whether the audio file is a first type of audio file or a second type of audio file, a query filter associated with the device may be configured to access one or more guidance queries. Using the one or more guidance queries, the device may classify the audio file as a first type of audio file or a second type of audio file based on receiving only a portion of the audio file, thereby improving the speed at which the audio file can be processed.