| A Demonstration of the Merlin Open Source Neural Network Speech Synthesis System S Ronanki, Z Wu, O Watts, S King SSW9, 133, 2016 | 408* | 2016 |
| ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ... Computer Speech & Language 64, 101114, 2020 | 247 | 2020 |
| Fine-grained robust prosody transfer for single-speaker neural text-to-speech V Klimkov, S Ronanki, J Rohnke, T Drugman arXiv preprint arXiv:1907.02479, 2019 | 88 | 2019 |
| Effect of data reduction on sequence-to-sequence neural TTS J Latorre, J Lachowicz, J Lorenzo-Trueba, T Merritt, T Drugman, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 72 | 2019 |
| Robust TTS duration modelling using DNNs GE Henter, S Ronanki, O Watts, M Wester, Z Wu, S King 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 48 | 2016 |
| Transformer-transducers for code-switched speech recognition S Dalmia, Y Liu, S Ronanki, K Kirchhoff ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 36 | 2021 |
| Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data. Z Hodari, O Watts, S Ronanki, S King Interspeech, 32-36, 2018 | 34 | 2018 |
| In other news: A bi-style text-to-speech model for synthesizing newscaster voice with limited data N Prateek, M Łajszczak, R Barra-Chicote, T Drugman, J Lorenzo-Trueba, ... arXiv preprint arXiv:1904.02790, 2019 | 33 | 2019 |
| Multimodal semi-supervised learning framework for punctuation prediction in conversational speech M Sunkara, S Ronanki, D Bekal, S Bodapati, K Kirchhoff arXiv preprint arXiv:2008.00702, 2020 | 30 | 2020 |
| Robust prediction of punctuation and truecasing for medical asr M Sunkara, S Ronanki, K Dixit, S Bodapati, K Kirchhoff arXiv preprint arXiv:2007.02025, 2020 | 28 | 2020 |
| A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs. S Ronanki, GE Henter, Z Wu, S King INTERSPEECH, 2463-2467, 2016 | 26 | 2016 |
| Automatic Pronunciation Scoring And Mispronunciation Detection Using CMUSphinx R Srikanth, J Salsman Proceedings of the Workshop on Speech and Language Processing Tools in …, 2012 | 23 | 2012 |
| Median-based generation of synthetic speech durations using a non-parametric approach S Ronanki, O Watts, S King, GE Henter 2016 IEEE Spoken Language Technology Workshop (SLT), 686-692, 2016 | 19 | 2016 |
| A Hierarchical Encoder-Decoder Model for Statistical Parametric Speech Synthesis. S Ronanki, O Watts, S King Interspeech, 1133-1137, 2017 | 17 | 2017 |
| Personalization of ctc speech recognition models S Dingliwal, M Sunkara, S Ronanki, J Farris, K Kirchhoff, S Bodapati 2022 IEEE Spoken Language Technology Workshop (SLT), 302-309, 2023 | 16 | 2023 |
| Adapting long context NLM for ASR rescoring in conversational agents A Shenoy, S Bodapati, M Sunkara, S Ronanki, K Kirchhoff arXiv preprint arXiv:2104.11070, 2021 | 16 | 2021 |
| Duration modelling in voice conversion using artificial neural networks R Srikanth, B Bajibabu, K Prahallad 2012 19th International Conference on Systems, Signals and Image Processing …, 2012 | 10 | 2012 |
| The nst–glotthmm entry to the blizzard challenge 2015 O Watts, S Ronanki, Z Wu, T Raitio, A Suni Proc. Blizzard Challenge Workshop, 2015 | 9 | 2015 |
| Text-to-speech (TTS) processing JL Trueba, TR Drugman, V Klimkov, S Ronanki, TE Merritt, AP Breen, ... US Patent 10,741,169, 2020 | 8 | 2020 |
| DNN-based Speech Synthesis for Indian Languages from ASCII text S Ronanki, S Reddy, B Bollepalli, S King arXiv preprint arXiv:1608.05374, 2016 | 8 | 2016 |
Simon KingProfessor of Speech Processing, University of EdinburghVerified email at ed.ac.uk
