An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction-Reference-Cited by-同舟云学术

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An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction

Published:2016-09-08 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2016
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Author:

Vadapalli Anandaswarup,Gangashetty Suryakanth V.

Publisher

ISCA

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Language modeling for spontaneous speech recognition based on disfluency labeling and generation of disfluent text;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. The Performance of a Lip-Sync Imagery Model, New Combinations of Signals, a Supplemental Bond Graph Classifier, and Deep Formula Detection as an Extraction and Root Classifier for Electroencephalograms and Brain–Computer Interfaces;Applied Sciences;2023-10-27

3. Duration-Aware Pause Insertion Using Pre-Trained Language Model for Multi-Speaker Text-To-Speech;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Feature‐weighted AdaBoost classifier for punctuation prediction in Tamil and Hindi NLP systems;Expert Systems;2021-11-21

5. Phrase Break Prediction with Bidirectional Encoder Representations in Japanese Text-to-Speech Synthesis;Interspeech 2021;2021-08-30

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