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Panagiota Karanasou
Person information
- affiliation: University of Cambridge, UK
- affiliation: University of Paris-Sud, Orsay, France
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2020 – today
- 2023
- [c28]Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer. INTERSPEECH 2023: 3387-3391 - [c27]Marcel Granero Moya, Penny Karanasou, Sri Karlapati, Bastian Schnell, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
A Comparative Analysis of Pretrained Language Models for Text-to-Speech. SSW 2023: 14-20 - [c26]Arnaud Joly, Marco Nicolis, Ekaterina Peterova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova:
Controllable Emphasis with zero data for text-to-speech. SSW 2023: 113-119 - [i9]Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer. CoRR abs/2306.11327 (2023) - [i8]Arnaud Joly, Marco Nicolis, Ekaterina Peterova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova:
Controllable Emphasis with zero data for text-to-speech. CoRR abs/2307.07062 (2023) - [i7]Marcel Granero Moya, Penny Karanasou, Sri Karlapati, Bastian Schnell, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
A Comparative Analysis of Pretrained Language Models for Text-to-Speech. CoRR abs/2309.01576 (2023) - 2022
- [c25]Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Syed Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman:
CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer. INTERSPEECH 2022: 3363-3367 - [c24]Peter Makarov, Syed Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou:
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. INTERSPEECH 2022: 3368-3372 - [c23]Dino Rattcliffe, You Wang, Alex Mansbridge, Penny Karanasou, Alexis Moinet, Marius Cotescu:
Cross-lingual Style Transfer with Conditional Prior VAE and Style Loss. INTERSPEECH 2022: 4586-4590 - [i6]Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman:
CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer. CoRR abs/2206.13443 (2022) - [i5]Peter Makarov, Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou:
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. CoRR abs/2206.14643 (2022) - 2021
- [c22]Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman:
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. ICASSP 2021: 6573-6577 - [c21]Zack Hodari, Alexis Moinet, Sri Karlapati, Jaime Lorenzo-Trueba, Thomas Merritt, Arnaud Joly, Ammar Abbas, Penny Karanasou, Thomas Drugman:
Camp: A Two-Stage Approach to Modelling Prosody in Context. ICASSP 2021: 6578-6582 - [c20]Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman:
A Learned Conditional Prior for the VAE Acoustic Space of a TTS System. Interspeech 2021: 3620-3624 - [c19]Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman:
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. SSW 2021: 177-182 - [i4]Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman:
A learned conditional prior for the VAE acoustic space of a TTS system. CoRR abs/2106.10229 (2021) - [i3]Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman:
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. CoRR abs/2106.15649 (2021) - 2020
- [i2]Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman:
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. CoRR abs/2011.02252 (2020)
2010 – 2019
- 2019
- [c18]Andrew Johnson, Penny Karanasou, Judith Gaspers, Dietrich Klakow:
Cross-lingual Transfer Learning for Japanese Named Entity Recognition. NAACL-HLT (2) 2019: 182-189 - 2018
- [j2]Chunyang Wu
, Mark J. F. Gales, Anton Ragni, Penny Karanasou
, Khe Chai Sim:
Improving Interpretability and Regularization in Deep Learning. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 256-265 (2018) - [c17]Judith Gaspers, Penny Karanasou, Rajen Chatterjee:
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System. NAACL-HLT (3) 2018: 137-144 - [i1]Judith Gaspers, Penny Karanasou, Rajen Chatterjee:
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System. CoRR abs/1805.09119 (2018) - 2017
- [j1]Penny Karanasou, Chunyang Wu, Mark J. F. Gales, Philip C. Woodland:
I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 818-828 (2017) - 2016
- [c16]Chunyang Wu, Penny Karanasou, Mark J. F. Gales:
Combining i-vector representation and structured neural networks for rapid adaptation. ICASSP 2016: 5000-5004 - [c15]Linlin Wang, Chao Zhang, Philip C. Woodland, Mark J. F. Gales, Panagiota Karanasou, Pierre Lanchantin, Xunying Liu, Yanmin Qian:
Improved DNN-based segmentation for multi-genre broadcast audio. ICASSP 2016: 5700-5704 - [c14]Chunyang Wu, Penny Karanasou, Mark J. F. Gales, Khe Chai Sim:
Stimulated Deep Neural Network for Speech Recognition. INTERSPEECH 2016: 400-404 - [c13]Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanman Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems. INTERSPEECH 2016: 3057-3061 - 2015
- [c12]Philip C. Woodland, Xunying Liu, Yanmin Qian, Chao Zhang, Mark J. F. Gales, Penny Karanasou, Pierre Lanchantin, Linlin Wang:
Cambridge university transcription systems for the multi-genre broadcast challenge. ASRU 2015: 639-646 - [c11]Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
The development of the cambridge university alignment systems for the multi-genre broadcast challenge. ASRU 2015: 647-653 - [c10]Penny Karanasou, Mark J. F. Gales, Pierre Lanchantin, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
Speaker diarisation and longitudinal linking in multi-genre broadcast data. ASRU 2015: 660-666 - [c9]Yulan Liu, Penny Karanasou, Thomas Hain
:
An investigation into speaker informed DNN front-end for LVCSR. ICASSP 2015: 4300-4304 - [c8]Penny Karanasou, Mark J. F. Gales, Philip C. Woodland:
I-vector estimation using informative priors for adaptation of deep neural networks. INTERSPEECH 2015: 2872-2876 - 2014
- [c7]Penny Karanasou, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland:
Adaptation of deep neural network acoustic models using factorised i-vectors. INTERSPEECH 2014: 2180-2184 - 2013
- [b1]Panagiota Karanasou:
Phonemic variability and confusability in pronunciation modeling for automatic speech recognition. (Variabilité et confusabilité phonémique pour les modèles de prononciations au sein d'un système de reconnaissance automatique de la parole). University of Paris-Sud, Orsay, France, 2013 - [c6]Penny Karanasou, François Yvon, Thomas Lavergne, Lori Lamel:
Discriminative training of a phoneme confusion model for a dynamic lexicon in ASR. INTERSPEECH 2013: 1966-1970 - 2012
- [c5]Panagiota Karanasou, Lukás Burget, Dimitra Vergyri, Murat Akbacak, Arindam Mandal:
Discriminatively trained phoneme confusion model for keyword spotting. INTERSPEECH 2012: 2434-2437 - 2011
- [c4]Panagiota Karanasou, Lori Lamel:
Automatic Generation of a Pronunciation Dictionary with Rich Variation Coverage Using SMT Methods. CICLing (2) 2011: 506-517 - [c3]Panagiota Karanasou, François Yvon, Lori Lamel:
Measuring the Confusability of Pronunciations in Speech Recognition. FSMNLP 2011: 107-115 - [c2]Panagiota Karanasou, Lori Lamel:
Pronunciation variants generation using SMT-inspired approaches. ICASSP 2011: 4908-4911 - 2010
- [c1]Panagiota Karanasou, Lori Lamel:
Comparing SMT Methods for Automatic Generation of Pronunciation Variants. IceTAL 2010: 167-178
Coauthor Index
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last updated on 2024-08-03 21:15 CEST by the dblp team
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