5 research outputs found

    Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks

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    Adaptive Statistical Utterance Phonetization for French

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    International audienceTraditional utterance phonetization methods concatenate pronunciations of uncontextualized constituent words. This approach is too weak for some languages, like French, where transitions between words imply pronunciation modifications. Moreover, it makes it difficult to consider global pronunciation strategies, for instance to model a specific speaker or a specific accent. To overcome these problems, this paper presents a new original phonetization approach for French to generate pronunciation variants of utterances. This approach offers a statistical and highly adaptive framework by relying on conditional random fields and weighted finite state transducers. The approach is evaluated on a corpus of isolated words and a corpus of spoken utterances

    Цифрова обробка сигналів та зображень: розпізнавання фонем в голосовому сигналі за допомогою нейронних мереж

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    Навчальний посібник містить матеріали для самостійної роботи здобувачів ступеня магістр за освітньою програмою «Системне програмування та спеціалізовані комп’ютерні системи» спеціальності 123 «Комп’ютерна інженерія» при вивченні розділу «Обробка голосових сигналів та зображень» з дисципліни «Цифрова обробка сигналів та зображень». Також стане у нагоді розробникам програмного забезпечення, аспірантам та студентам технічних спеціальностей.The study guide contains materials for independent work of master's degree holders in the educational program "System programming and specialized computer systems" specialty 123 "Computer engineering" when studying the section "Processing of voice signals and images" from the discipline "Digital processing of signals and images". It will also be useful for software developers, graduate students and students of technical specialties

    Rapid Generation of Pronunciation Dictionaries for new Domains and Languages

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    This dissertation presents innovative strategies and methods for the rapid generation of pronunciation dictionaries for new domains and languages. Depending on various conditions, solutions are proposed and developed. Starting from the straightforward scenario in which the target language is present in written form on the Internet and the mapping between speech and written language is close up to the difficult scenario in which no written form for the target language exists
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