Anandaswarup Vadapalli
Anandaswarup Vadapalli
PhD Scholar
Verified email at research.iiit.ac.in
Title
Cited by
Cited by
Year
The Blizzard Challenge 2014
K Prahallad, A Vadapalli, S Kesiraju, HA Murthy, S Lata, T Nagarajan, ...
Proceedings of the Blizzard Challenge Workshop 2014, 2014
22*2014
The Blizzard Challenge 2013–Indian language task
K Prahallad, A Vadapalli, N Elluru, G Mantena, B Pulugundla, ...
Proceedings of the Blizzard Challenge Workshop 2013, 2013
222013
Significance of word-terminal syllables for prediction of phrase breaks in Text to Speech systems for Indian Languages
A Vadapalli, P Bhaskararao, K Prahallad
Proceedings of 8th ISCA Speech Synthesis Workshop, 2013
142013
Learning continuous-valued word representations for phrase break prediction
A Vadapalli, K Prahallad
Fifteenth Annual Conference of the International Speech Communication …, 2014
122014
Is word-to-phone mapping better than phone-phone mapping for handling English words?
NK Elluru, A Vadapalli, R Elluru, HA Murthy, K Prahallad
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
112013
An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction.
A Vadapalli, SV Gangashetty
Interspeech, 2308-2312, 2016
92016
Iiit-h’s entry to blizzard challenge 2015
SK Rallabandi, A Vadapalli, S Achanta, SV Gangashetty
Blizzard Challenge Workshop, 2015
62015
IIIT Hyderabad’s submission to the Blizzard Challenge 2015
SK Rallabandi, A Vadapalli, S Achanta, S Gangashetty
Proceedings of Blizzard Challenge, 2015
42015
Contextual Representation using Recurrent Neural Network Hidden State for Statistical Parametric Speech Synthesis.
S Achanta, R Banoth, A Pandey, A Vadapalli, SV Gangashetty
SSW, 172-177, 2016
22016
Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis
S Achanta, A Vadapalli, SV Gangashetty
arXiv preprint arXiv:1508.00354, 2015
2015
IIITH Submission for Blizzard Challenge 2017: A BLSTM based SPSS System using MatNN
S Achanta, A Vadapalli, SV Gangashetty
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Articles 1–11