Text-to-Speech Audio Processing for Survey Data Accuracy
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Solution Overview
Problem
Conventional digital survey systems are prone to response biases, agreement biases, and reading errors, limiting the accuracy and usability of data collected for enterprise analysis.
Innovation Solution
A computing system and method for text-to-speech audio processing and distribution using an electroacoustic transducer, which compiles digital data collection programs to generate audio outputs for queries, allowing users to respond via audio, and aggregates responses for improved data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional digital survey systems are used, then data collection is straightforward, but response biases, agreement biases, and reading errors occur reducing data accuracy
Solution Approach 1:
The patent replaces the mechanical reading and response system with an audio-based system. Text queries are converted to speech audio outputs, and users respond via audio inputs rather than reading and typing. This substitution eliminates reading errors and reduces response biases by removing the visual text interface that causes agreement biases.
Solution Approach 2:
The patent introduces audio processing as an intermediary between the survey system and the user. Text-to-speech conversion and speech-to-text recognition act as mediators that transform the interaction modality from visual-textual to audio-oral, thereby eliminating the harmful effects of reading errors and certain types of response biases.
2Measurement precision
If audio-based responses are implemented, then biases and errors are reduced, but system complexity increases due to text-to-speech processing
Solution Approach 1:
The patent makes the computing device perform multiple functions: it serves as both a text processing system and an audio processing system. The device uses its existing display, speaker, microphone, and processor to handle both visual and audio modalities, eliminating the need for separate dedicated hardware and reducing overall system complexity.
Solution Approach 2:
The computing device itself provides the audio processing capabilities needed for the survey system. Rather than requiring external specialized equipment, the device uses its built-in text-to-speech engine, speaker, microphone, and speech-to-text recognition to handle audio conversion and processing, making the system self-sufficient.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances data collection by reducing biases and errors through audio-based responses, providing more accurate and usable data for enterprise analysis.
Implementation Method 1
providing, via the electroacoustic transducer, an audio output of the audio data
Data Source
AI summary
Systems and methods for text-to-speech audio processing and audio transduction include compiling a digital data collection program to be distributed to computing device(s), the compiling including receiving data collection information that includes textual data of query(s) to be included in the digital data collection program and implementing text-to-speech data processing of the textual data that generates audio data of the query(s). The compiled digital data collection program that includes the generated audio data is distributed to the computing device(s) for execution thereby facilitating displaying, via a user interface of a user device, the query(s) and facilitating providing, via the electroacoustic transducer, an audio output of the audio data corresponding to the displayed query(s). Response data input by a user of the user device and received in response to the query(s) is collected and aggregated with additional response data collected from other user(s) of the computing device(s).