Voice-to-Text Contact Retrieval Using IPA Pronunciation Patterns
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Solution Overview
Problem
Speech recognition technologies face challenges in accurately translating spoken words due to factors like pronunciation, accent, and pitch, leading to reduced effectiveness and limited application in diverse linguistic environments.
Innovation Solution
Implementing multi-lingual voice patterns based on International Phonetic Alphabet (IPA) symbols to convert spoken words into patterns of pronunciation symbols, allowing comparison with a database of language-specific patterns to improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech recognition uses standard alphabet character matching, then the system is simple to implement, but it fails to recognize words with pronunciation variations, accents, or different languages
Solution Approach 1:
The patent introduces IPA (International Phonetic Alphabet) symbols as an intermediary layer between spoken words and text representation. Instead of directly matching alphabet characters, the system converts spoken words into IPA pronunciation patterns, which then serve as the basis for comparison with the database. This intermediary approach enables accurate recognition across different languages and accents while maintaining a structured comparison process through match value calculation and threshold evaluation.
2Adaptability or versatility
If the system compares spoken words directly as alphabet characters, then the processing is fast and simple, but it cannot handle pronunciation variations and linguistic diversity
Solution Approach 1:
The system performs preliminary conversion of the spoken word into IPA pronunciation symbols before conducting the comparison operation. By pre-processing the input into a standardized phonetic representation, the system prepares the data in a format that can be efficiently compared against the database of pronunciation patterns. This preliminary action enables the system to handle linguistic diversity without requiring complex real-time analysis during the comparison phase.
3Measurement precision
If the system uses a database of multi-lingual pronunciation patterns, then it can recognize words across different languages and accents, but it increases the database size and comparison complexity
Solution Approach 1:
The patent changes the parameter of word representation from alphabet characters to IPA pronunciation symbols. This parameter transformation allows the system to store and compare words based on their phonetic properties rather than orthographic forms. By organizing the database around pronunciation patterns with associated match values and language identifiers, the system achieves comprehensive multi-lingual coverage while maintaining efficient comparison through standardized parametric representation.
Data Source
AI summary
A computing system includes a processor configured to convert a word spoken by a user into a pattern of symbols in response to an unsuccessful attempt to retrieve the word in a list. The pattern of symbols provide a visual representation of speech sounds identifying the contact in the contact list. The pattern of symbols of the converted contact is compared to a database of patterns, with the patterns in the database being in a format of symbols corresponding to the words in the list. Each pattern used in the compare has a match value assigned thereto based on being compared to the pattern of symbols of the converted word. The processor provides the word in the list corresponding to the pattern having the match value that is indicative of a match to the converted word.