| 2024 | ICASSP | Dialog Modeling in Audiobook Synthesis. | Cheng-chieh Yeh, Amirreza Shirani, Weicheng Zhang, Tuomo Raitio, Ramya Rasipuram, Ladan Golipour, David Winarsky |
| 2021 | ASRU | On-Device Neural Speech Synthesis. | Sivanand Achanta, Albert Antony, Ladan Golipour, Jiangchuan Li, Tuomo Raitio, Ramya Rasipuram, Francesco Rossi, Jennifer Shi, Jaimin Upadhyay, David Winarsky, Hepeng Zhang |
| 2020 | Interspeech | Controllable Neural Text-to-Speech Synthesis Using Intuitive Prosodic Features. | Tuomo Raitio, Ramya Rasipuram, Dan Castellani |
| 2017 | Interspeech | Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System. | Tim Capes, Paul Coles, Alistair Conkie, Ladan Golipour, Abie Hadjitarkhani, Qiong Hu, Nancy Huddleston, Melvyn Hunt, Jiangchuan Li, Matthias Neeracher, Kishore Prahallad, Tuomo Raitio, Ramya Rasipuram, Greg Townsend, Becci Williamson, David Winarsky, Zhizheng Wu, Hepeng Zhang |
| 2016 | Interspeech | HMM-Based Non-Native Accent Assessment Using Posterior Features. | Ramya Rasipuram, Milos Cernak, Mathew Magimai-Doss |
| 2015 | ICASSP | Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. | Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss |
| 2015 | Interspeech | Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. | Ramya Rasipuram, Milos Cernak, Alexandre Nanchen, Mathew Magimai-Doss |
| 2015 | Interspeech | Objective intelligibility assessment of text-to-speech systems through utterance verification. | Raphael Ullmann, Ramya Rasipuram, Mathew Magimai-Doss, Herv Bourlard |
| 2014 | ICASSP | On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches. | Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss |
| 2013 | ASRU | Probabilistic lexical modeling and unsupervised training for zero-resourced ASR. | Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss |
| 2013 | ICASSP | Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic. | Ramya Rasipuram, Peter Bell, Mathew Magimai-Doss |
| 2013 | Interspeech | Improving grapheme-based ASR by probabilistic lexical modeling approach. | Ramya Rasipuram, Mathew Magimai-Doss |
| 2012 | ICASSP | Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM. | Ramya Rasipuram, Mathew Magimai-Doss |
| 2012 | Interspeech | Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation. | Ramya Rasipuram, Mathew Magimai-Doss |
| 2011 | ASRU | Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition. | David Imseng, Ramya Rasipuram, Mathew Magimai-Doss |
| 2011 | ICANN | Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning. | Ramya Rasipuram, Mathew Magimai-Doss |
| 2011 | ICASSP | Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition. | Ramya Rasipuram, Mathew Magimai-Doss |
| 2011 | Interspeech | Grapheme-Based Automatic Speech Recognition Using KL-HMM. | Mathew Magimai-Doss, Ramya Rasipuram, Guillermo Aradilla, Herv Bourlard |