Cascade Reading, Inc. (20240257802). ACOUSTIC-BASED LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING simplified abstract
Contents
ACOUSTIC-BASED LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING
Organization Name
Inventor(s)
Julie A. Van Dyke of New Haven CT (US)
Michael Gorman of Edina MN (US)
Mark Lacek of Minneapolis MN (US)
ACOUSTIC-BASED LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257802 titled 'ACOUSTIC-BASED LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING
The patent application describes systems and techniques for linguistically-driven automated text formatting of acoustic input.
- An audio sample containing multiple words from human speech is obtained and processed to determine linguistic relationships based on the acoustic properties of the words.
- Data such as an acoustical language model is generated to arrange the words into a cascade format, establishing horizontal and vertical displacement among the words.
- A cascaded text output is provided from the acoustical language model or related data.
Potential Applications: - Automated transcription of audio recordings - Voice-controlled text formatting tools - Language learning applications
Problems Solved: - Streamlining the process of transcribing spoken language - Improving the accuracy of automated text formatting - Enhancing accessibility for individuals with speech impairments
Benefits: - Increased efficiency in converting audio to text - Improved organization and readability of transcribed content - Enhanced user experience for speech recognition technology
Commercial Applications: Title: "Automated Text Formatting Technology for Speech Recognition Systems" This technology could be utilized in transcription services, voice-activated devices, and language learning software, potentially revolutionizing the way we interact with spoken language.
Questions about Acoustic-based Linguistically-driven Automated Text Formatting: 1. How does this technology improve the accuracy of transcribing spoken language? - The technology uses linguistic relationships to arrange words in a cascade format, enhancing the organization and readability of transcribed content. 2. What are the potential applications of this technology beyond transcription services? - This technology could be used in voice-controlled devices, language learning applications, and other speech recognition systems.
Original Abstract Submitted
systems and techniques for acoustic-based linguistically-driven automated text formatting of acoustic input are described herein. an audio sample may be obtained that includes multiple words from human speech. the audio sample may be processed to determine a linguistic relationship of the words from the acoustic properties of the words. based on the determined linguistic relationships, data such as an acoustical language model is generated to enable an arrangement of the words into a cascade format (e.g., a cascade format that establishes horizontal displacement and vertical displacement among the multiple words). a cascaded text output may be provided from the acoustical language model or other types of related data.
