International Business Machines had six patents in edtech during Q2 2024. IBM has developed a method, computer system, and program for syllable-based pronunciation assistance. This technology receives input text in one language and a selection of a different target language. By comparing spectrograms, syllables in the target language with a pronunciation closest to the input text are obtained and presented to the user. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in edtech as a theme in Q2 2024.
Recent Patents
Application: Syllable-based text conversion for pronunciation help (Patent ID: US20240119862A1)
The patent filed by IBM describes a method, computer system, and computer program product for syllable-based pronunciation assistance. The system receives an input text in one language and a selection of a different target language. It then obtains syllables from the target language that closely match the pronunciation of the input text based on spectrogram comparisons. The obtained syllables are then presented in the target language, aiding in pronunciation assistance.
The method involves separating the input text into syllables, calculating pronunciation times, generating spectrograms, and using machine learning models for comparison. The system includes processors, memories, and program instructions to execute the method. The computer program product allows for receiving input text, selecting a target language, obtaining matching syllables, and presenting them. Overall, the technology aims to improve pronunciation by leveraging spectrogram analysis and machine learning models to provide accurate syllable-based pronunciation assistance between different languages.
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