Name Pronunciation Configuration via Monosyllabic Component Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current speech recognition systems face challenges in accurately recognizing and synthesizing names due to the vast number of unique names and varying pronunciations across languages and cultures, often relying on inadequate pronunciation guessers that fail to model pronunciations from different languages and cultures.
Innovation Solution
A user-driven system that allows users to configure phonetic pronunciations of names by selecting monosyllabic components, utilizing multiple pronunciation guessers associated with different languages and locales, and a phonetic mapper to generate accurate phonetic pronunciations, which can be refined and stored for improved recognition and synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dictionary or lexicon is used to model name recognition, then pronunciation accuracy is improved for common names, but the system cannot handle the vast number of unique names (millions) and relies on inadequate pronunciation guessers for rare names
Solution Approach 1:
The patent segments names into monosyllabic components that can be independently selected and combined. Instead of treating each entire name as a single unit in a dictionary, the system breaks down names into smaller phonetic building blocks (monosyllables) that users can select to construct pronunciations for any name, thereby enabling coverage of millions of unique names while maintaining pronunciation accuracy through user input.
2Ease of manufacture
If sophisticated letter-to-sound rules are used in pronunciation guessers, then some pronunciation patterns are captured, but the system fails to model pronunciations from different languages and cultures properly
Solution Approach 1:
The patent creates a universal interface that works across multiple languages and cultures by allowing users to select monosyllabic components from their native language's phonetic system. The system is designed to accommodate any language's pronunciation patterns through this unified component-based approach, making the pronunciation guesser universally applicable rather than language-specific.
Solution Approach 2:
The system enables users to self-service their own pronunciation needs by providing them with the tools to construct pronunciations for any name in their preferred language. Users independently select monosyllabic components that match their cultural and linguistic expectations, eliminating the need for pre-programmed language-specific rules and allowing the system to adapt to any language through user input.
3Stability of the object's composition
If a phonetic alphabet mapping system is implemented, then pronunciation standardization is improved, but the complexity of the system increases due to multiple pronunciation guessers and mapping layers
Solution Approach 1:
The patent introduces a phonetic alphabet mapping system as an intermediary layer between the user-selected monosyllabic components and the speech recognition/synthesis engines. This mediator converts diverse linguistic representations into a standardized phonetic format, enabling pronunciation standardization while managing complexity by providing a unified conversion interface that handles all language-specific variations through a single mapping mechanism.
Data Source
AI summary
Systems and methods are provided for associating a phonetic pronunciation with a name by receiving the name, mapping the name to a plurality of monosyllabic components that are combinable to construct the phonetic pronunciation of the name, receiving a user input to select one or more of the plurality, and combining the selected one or more of the plurality of monosyllabic components to construct the phonetic pronunciation of the name.


