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Transformer based Grapheme-to-Phoneme Conversion
Interspeech (Interspeech), 2019
14 April 2020
Sevinj Yolchuyeva
Géza Németh
Bálint Gyires-Tóth
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Papers citing
"Transformer based Grapheme-to-Phoneme Conversion"
30 / 30 papers shown
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LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study
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Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech
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Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
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Accented Text-to-Speech Synthesis with Limited Data
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r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation
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Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
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Zhiyuan Guo
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Zhenhua Ling
219
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Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis
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142
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Neural String Edit Distance
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Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects
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163
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On Biasing Transformer Attention Towards Monotonicity
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Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion
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