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Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end.

A. Rendel, R. Fernandez, R. Hoory, and B. Ramabhadran. ICASSP, page 5655-5659. IEEE, (2016)

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Ramabhadran Narasimhan

Other publications of authors with the same name

Training variance and performance evaluation of neural networks in speech.E. van den Berg, B. Ramabhadran, and M. Picheny. CoRR, (2016)Generalized Ambiguity Decomposition for Understanding Ensemble Diversity.K. Audhkhasi, A. Sethy, B. Ramabhadran, and S. Narayanan. CoRR, (2013)LSTM Acoustic Models Learn to Align and Pronounce with Graphemes.A. Datta, G. Zhao, B. Ramabhadran, and E. Weinstein. CoRR, (2020)Language modeling with highway LSTM.G. Kurata, B. Ramabhadran, G. Saon, and A. Sethy. ASRU, page 244-251. IEEE, (2017)Scaling shrinkage-based language models.S. Chen, L. Mangu, B. Ramabhadran, R. Sarikaya, and A. Sethy. ASRU, page 299-304. IEEE, (2009)N-best entropy based data selection for acoustic modeling.N. Itoh, T. Sainath, D. Jiang, J. Zhou, and B. Ramabhadran. ICASSP, page 4133-4136. IEEE, (2012)Prediction of F0 contours from symbolic and numerical variables using continuous conditional random fields.R. Fernandez, S. Minnis, and B. Ramabhadran. ICASSP, page 4621-4624. IEEE, (2012)Semi-supervised term-weighted value rescoring for keyword search.K. Audhkhasi, A. Sethy, B. Ramabhadran, and S. Narayanan. ICASSP, page 7869-7873. IEEE, (2014)Unnormalized exponential and neural network language models.A. Sethy, S. Chen, E. Arisoy, and B. Ramabhadran. ICASSP, page 5416-5420. IEEE, (2015)F0 contour prediction with a deep belief network-Gaussian process hybrid model.R. Fernandez, A. Rendel, B. Ramabhadran, and R. Hoory. ICASSP, page 6885-6889. IEEE, (2013)

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Disambiguation of "Ramabhadran, Bhuvana"

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Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end.

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Ramabhadran Narasimhan

Other publications of authors with the same name

Disambiguation

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Disambiguation of "Ramabhadran, Bhuvana"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end.

Please choose a person to relate this publication to

Ramabhadran Narasimhan

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Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end.