Google LLC (20240304173). Systems and Methods for a Text-To-Speech Interface simplified abstract
Contents
Systems and Methods for a Text-To-Speech Interface
Organization Name
Inventor(s)
Benedict Davies of London (GB)
Guillaume Boniface of London (GB)
Jakub Adamek of St. Albans, Hertfordshire (GB)
Matthias Quasthoff of London (GB)
Systems and Methods for a Text-To-Speech Interface - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240304173 titled 'Systems and Methods for a Text-To-Speech Interface
The abstract describes a computing system and techniques for selecting content to be automatically converted to speech and provided as an audio signal. It involves receiving a text-to-speech request associated with a document, determining content based on a playback position, analyzing structural features of the content, and generating speech data.
- The system automatically converts selected content into speech for audio playback.
- It receives text-to-speech requests associated with specific documents.
- Content is determined based on the playback position of a selector in the text-to-speech interface.
- Structural features of the content are analyzed to enhance the speech generation process.
Potential Applications: - Accessibility tools for visually impaired individuals. - Language learning applications. - Audiobook creation platforms.
Problems Solved: - Providing audio versions of text content. - Enhancing user experience for individuals who prefer listening over reading.
Benefits: - Improved accessibility to information. - Enhanced user experience for consuming content. - Increased convenience for multitasking.
Commercial Applications: Title: Automated Text-to-Speech Conversion System This technology can be utilized in: - E-learning platforms. - Podcast creation tools. - Virtual assistant applications.
Prior Art: Researchers can explore existing patents related to text-to-speech technology, speech synthesis, and document analysis.
Frequently Updated Research: Stay updated on advancements in speech synthesis algorithms, natural language processing, and accessibility technologies.
Questions about Text-to-Speech Conversion: 1. How does the system determine the playback position for speech conversion? The playback position is determined based on the selector's location in the text-to-speech interface, overlaid on the document.
2. What are the key factors considered when analyzing the structural features of the content? The system analyzes factors such as headings, paragraphs, and formatting to identify the structure of the content for speech generation.
Original Abstract Submitted
a computing system and related techniques for selecting content to be automatically converted to speech and provided as an audio signal are provided. a text-to-speech request associated with a first document can be received that includes data associated with a playback position of a selector associated with a text-to-speech interface overlaid on the first document. first content associated with the first document can be determined based at least in part on the playback position, the first content including content that is displayed in the user interface at the playback position. the first document can be analyzed to identify one or more structural features associated with the first content. speech data can be generated based on the first content and the one or more structural features.
