Audio Word Counter Using Speech Windowing and Modifier Factors
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Solution Overview
Problem
Conventional methods for tracking spoken word counts are inefficient, prone to error, and costly, as they require manual transcription or observation, making it difficult to accurately count and track words over time.
Innovation Solution
A word counting device that receives audio input, windows it into smaller sections, determines speech criteria, counts instances meeting those criteria, applies a modifier factor, and outputs the word count in a graphical user interface, utilizing a system with a microphone, windowing module, determination module, counting module, modifier module, and output module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual transcription or observation is used to count spoken words, then accuracy can be achieved, but the process becomes profoundly inefficient and time-consuming
Solution Approach 1:
The patent replaces manual mechanical counting methods with an automated audio processing system. The system uses a microphone to capture speech, windows the audio into segments, applies speech criteria for identification, and counts words automatically through computational algorithms, eliminating the need for manual transcription or observation while maintaining accuracy.
Solution Approach 2:
The system performs self-service by automatically analyzing and counting words without requiring external human intervention. The audio input is processed through the windowing module and determination module to self-determine word count, making the process efficient and scalable without depending on manual observers.
2Productivity
If manual counting of words is performed in real-time, then word count can be obtained, but it is prone to error and expensive
Solution Approach 1:
The patent replaces manual real-time counting with an automated audio analysis system that processes speech in real-time. The windowing module divides audio into segments, the determination module applies speech criteria to identify words, and the counting module automatically tallies them, providing both real-time capability and higher reliability without human error.
3Loss of time
If audio input is processed continuously to track words over time, then real-time tracking is achieved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the continuous audio input into smaller time windows using the windowing module. This allows the determination module to process and apply speech criteria to manageable segments, making real-time continuous tracking feasible without overwhelming processing complexity. The counting module then aggregates results from these segments to provide cumulative word count.
Data Source
AI summary
This disclosure generally relates to a method and system for counting words spoken by a user. For example, an audio input representative of spoken speech may be received and divided into a series of windows. The windows may be analyzed to determine whether or not one or more of the windows meet one or more speech criteria. The number of times a window meets one or more speech criteria may be counted and modified by a modifier factor to determine a word count. The word count may be output in a graphical user interface.