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Ramya Rasipuram
Ramya Rasipuram
Research and development engineer, Apple Inc.
Verified email at apple.com
Title
Cited by
Cited by
Year
Siri on-device deep learning-guided unit selection text-to-speech system.
T Capes, P Coles, A Conkie, L Golipour, A Hadjitarkhani, Q Hu, ...
Interspeech, 4011-4015, 2017
802017
Text normalization based on a data-driven learning network
L Golipour, M Neeracher, R Rasipuram
US Patent 10,395,654, 2019
652019
Controllable neural text-to-speech synthesis using intuitive prosodic features
T Raitio, R Rasipuram, D Castellani
arXiv preprint arXiv:2009.06775, 2020
502020
Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model
R Rasipuram, M Magimai-Doss
Speech Communication 68, 23-40, 2015
36*2015
GRAPHEME-BASED AUTOMATIC SPEECH RECOGNITION USING KL-HMM
MM Doss, R Rasipuram, G Aradilla, H Bourlard
Proceedings of Interspeech, 2012
34*2012
Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition
D Imseng, R Rasipuram, MM Doss
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU - 2012), 2012
332012
On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches
M Razavi, R Rasipuram, M Magimai-Doss
2014 IEEE international conference on acoustics, speech and signal …, 2014
322014
Articulatory feature based continuous speech recognition using probabilistic lexical modeling
R Rasipuram, MM Doss
Computer Speech & Language 36, 233-259, 2016
292016
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition
R Rasipuram, MD Mathew
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
242011
Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM
R Rasipuram, MM Doss
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
222012
Objective intelligibility assessment of text-to-speech systems through utterance verification
R Ullmann, R Rasipuram, H Bourlard
Proceedings of Interspeech, 3501-3505, 2015
212015
Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework
M Razavi, R Rasipuram, MM Doss
Speech Communication 80, 1-21, 2016
152016
Improving articulatory feature and phoneme recognition using multitask learning
R Rasipuram, M Magimai-Doss
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011
152011
Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach
R Rasipuram, MM Doss
Proceedings of Interspeech, 2013
142013
GRAPHEME AND MULTILINGUAL POSTERIOR FEATURES FOR UNDER-RESOURCED SPEECH RECOGNITION: A STUDY ON SCOTTISH GAELIC
R Rasipuram, P Bell, MM Doss
Proceedings of ICASSP, 2013
142013
Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities
R Rasipuram, M Cernak, A Nanchen
Proceedings of Interspeech, 648-652, 2015
132015
Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation
R Rasipuram, MM Doss
Proceedings of Interspeech, 2012
132012
Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models
M Razavi, R Rasipuram, MM Doss
Speech Communication 96, 168-183, 2018
102018
Probabilistic lexical modeling and grapheme-based automatic speech recognition
R Rasipuram
Idiap, 2013
92013
Grapheme-based automatic speech recognition using probabilistic lexical modeling
R Rasipuram
EPFL, 2014
82014
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