| Text normalization based on a data-driven learning network L Golipour, M Neeracher, R Rasipuram US Patent 10,395,654, 2019 | 149 | 2019 |
| 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 | 101 | 2017 |
| Controllable neural text-to-speech synthesis using intuitive prosodic features T Raitio, R Rasipuram, D Castellani arXiv preprint arXiv:2009.06775, 2020 | 89 | 2020 |
| 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 | 38* | 2015 |
| GRAPHEME-BASED AUTOMATIC SPEECH RECOGNITION USING KL-HMM MM Doss, R Rasipuram, G Aradilla, H Bourlard Proceedings of Interspeech, 2012 | 36* | 2012 |
| Articulatory feature based continuous speech recognition using probabilistic lexical modeling R Rasipuram, MM Doss Computer Speech & Language 36, 233-259, 2016 | 34 | 2016 |
| 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 | 34 | 2014 |
| 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 | 34 | 2012 |
| 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 | 29 | 2011 |
| Objective intelligibility assessment of text-to-speech systems through utterance verification R Ullmann, R Rasipuram, H Bourlard Proceedings of Interspeech, 3501-3505, 2015 | 22 | 2015 |
| Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM R Rasipuram, MM Doss 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 21 | 2012 |
| On-device neural speech synthesis S Achanta, A Antony, L Golipour, J Li, T Raitio, R Rasipuram, F Rossi, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 20 | 2021 |
| 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 | 17 | 2016 |
| Improving articulatory feature and phoneme recognition using multitask learning R Rasipuram, M Magimai-Doss Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 15 | 2011 |
| 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 | 14 | 2015 |
| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach R Rasipuram, MM Doss Proceedings of Interspeech, 2013 | 14 | 2013 |
| 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 | 14 | 2013 |
| Generating genre appropriate voices for audio books R Rasipuram, W Beckman, L Golipour, DA Winarsky, CC Yeh, W Zhang US Patent App. 17/977,360, 2023 | 13 | 2023 |
| Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation R Rasipuram, MM Doss Proceedings of Interspeech, 2012 | 13 | 2012 |
| 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 | 11 | 2018 |
Mathew Magimai DossSenior Researcher, Idiap Research Institute, Martigny, Switzerlandidiap.ch üzerinde doğrulanmış e-posta adresine sahip
