Audio Content Generation via Pre-recorded Phrase Merging
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Solution Overview
Problem
Existing methods for delivering meteorological information, such as weather alerts, often fail to provide timely and comprehensible data to the public, as textual or graphical representations are not effectively consumed by the general public and audio messaging is typically choppy and automated, making it difficult for users to understand important, time-sensitive information.
Innovation Solution
A method for automatically translating raw data into real human-voiced audio content, which involves ingesting data, separating it into types, creating descriptive lists, compiling audio phrases, associating pre-recorded audio files, and merging them to create a final audio file, ensuring the information is presented in a clear and understandable format, similar to how a human would convey it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If audio messaging is used to deliver weather information, then information delivery speed is improved, but audio quality becomes choppy and automated, reducing understandability
Solution Approach 1:
The patent segments the audio delivery process into multiple components: weather data ingestion, data type separation, descriptive data creation, audio phrase compilation, and pre-recorded audio file merging. This segmentation allows each component to be optimized independently, resulting in natural-sounding audio while maintaining rapid delivery.
Solution Approach 2:
The system performs preliminary actions by pre-recording audio files for various weather conditions and phrases before actual weather events occur. These pre-recorded audio files are then quickly assembled and merged when weather data becomes available, enabling both rapid delivery and high audio quality without real-time processing delays.
2Loss of information
If textual or graphical representations are used to present weather data, then information completeness is improved, but public consumption and understanding are reduced
Solution Approach 1:
The patent substitutes the mechanical system of visual data interpretation (reading text, analyzing graphs) with an acoustic system (listening to natural-sounding audio). This substitution leverages the human auditory system's superior ability to process and understand spoken language, particularly in time-sensitive situations where quick comprehension is critical.
Solution Approach 2:
The system changes the parameter of information presentation from visual (text/graphical) to auditory (spoken audio). This parameter change transforms how information is consumed, allowing the public to understand weather data more effectively through natural human speech patterns rather than requiring interpretation of visual representations.
3Ease of operation
If real-time audio processing is performed to maintain natural voice quality, then audio naturalness is improved, but processing time increases, reducing timeliness
Solution Approach 1:
The system performs the computationally intensive task of creating natural-sounding audio in advance by pre-recording multiple audio files for different weather conditions and phrases. When weather data becomes available, the system only needs to quickly select and merge pre-existing audio files, dramatically reducing processing time while maintaining audio naturalness.
Solution Approach 2:
The patent segments audio content into discrete, pre-recorded phrases and weather condition segments. This segmentation allows the system to rapidly assemble natural-sounding audio reports by combining pre-prepared components rather than generating audio in real-time, thus maintaining both naturalness and timeliness.
Data Source
AI summary
A method for automatically translating raw data into real human voiced audio content is provided according to an embodiment of the present disclosure. The method may comprise ingesting data, separating the data into or associating the data with a data type, and creating a list of descriptive data associated with the data type. In some embodiments, the method further comprises compiling audio phrases types associated with the descriptive data, associating a pre-recorded audio file with each audio phrase, and merging a plurality of pre-recorded audio files to create a final audio file.