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Grapheme-to-Phoneme Conversion

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Showing 1–50 of 62 papers

TitleStatusHype
ByT5 model for massively multilingual grapheme-to-phoneme conversionCode2
Transformer based Grapheme-to-Phoneme ConversionCode1
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme ModelsCode1
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and PunjabiCode1
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark DatasetCode1
IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language ModelingCode1
Applying the Transformer to Character-level TransductionCode1
Zero-shot Learning for Grapheme to Phoneme Conversion with Language EnsembleCode1
Deep Voice: Real-time Neural Text-to-SpeechCode0
Smoothing and Shrinking the Sparse Seq2Seq Search SpaceCode0
Neural String Edit DistanceCode0
On Biasing Transformer Attention Towards MonotonicityCode0
Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention ModelsCode0
Making a Point: Pointer-Generator Transformers for Disjoint VocabulariesCode0
Massively Multilingual Neural Grapheme-to-Phoneme ConversionCode0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models—0
Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model—0
Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models—0
Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings—0
Linguistic Knowledge in Multilingual Grapheme-to-Phoneme Conversion—0
LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion—0
LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study—0
Low-Resource G2P and P2G Conversion with Synthetic Training Data—0
Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource Languages—0
Multi-Task Learning for Argumentation Mining—0
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition—0
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion—0
One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble—0
Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion—0
Phonikud: Hebrew Grapheme-to-Phoneme Conversion for Real-Time Text-to-Speech—0
PhonologyBench: Evaluating Phonological Skills of Large Language Models—0
Polish Read Speech Corpus for Speech Tools and Services—0
PronouncUR: An Urdu Pronunciation Lexicon Generator—0
RECOApy: Data recording, pre-processing and phonetic transcription for end-to-end speech-based applications—0
Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion—0
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation—0
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion—0
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks—0
The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion—0
A Multi-Orthography Parallel Corpus of Yiddish Nouns—0
Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration—0
Transliteration for Cross-Lingual Morphological Inflection—0
Untrained Forced Alignment of Transcriptions and Audio for Language Documentation Corpora using WebMAUS—0
WFST-Based Grapheme-to-Phoneme Conversion: Open Source tools for Alignment, Model-Building and Decoding—0
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble—0
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion—0
A set of open source tools for Turkish natural language processing—0
BAS Speech Science Web Services - an Update of Current Developments—0
Bridging the Gap: An Intermediate Language for Enhanced and Cost-Effective Grapheme-to-Phoneme Conversion with Homographs with Multiple Pronunciations Disambiguation—0
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