Panagiota Karanasou

According to our database, Panagiota Karanasou authored at least 33 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Comparative Analysis of Pretrained Language Models for Text-to-Speech.

Marcel Granero Moya, Penny Karanasou, Sri Karlapati, Bastian Schnell, Nicole Peinelt, Alexis Moinet, Thomas Drugman

CoRR, 2023

Controllable Emphasis with zero data for text-to-speech.

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

CoRR, 2023

eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer.

Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman

CoRR, 2023

2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.

Peter Makarov, Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou

CoRR, 2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman

CoRR, 2022

Cross-lingual Style Transfer with Conditional Prior VAE and Style Loss.

Dino Rattcliffe, You Wang, Alex Mansbridge, Penny Karanasou, Alexis Moinet, Marius Cotescu

Proceedings of the Interspeech 2022, 2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.

Peter Makarov, Syed Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou

Proceedings of the Interspeech 2022, 2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Syed Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman

Proceedings of the Interspeech 2022, 2022

2021

Multi-Scale Spectrogram Modelling for Neural Text-to-Speech.

Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman

CoRR, 2021

A Learned Conditional Prior for the VAE Acoustic Space of a TTS System.

Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech.

Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman

Proceedings of the IEEE International Conference on Acoustics, 2021

Camp: A Two-Stage Approach to Modelling Prosody in Context.

Zack Hodari, Alexis Moinet, Sri Karlapati, Jaime Lorenzo-Trueba, Thomas Merritt, Arnaud Joly, Ammar Abbas, Penny Karanasou, Thomas Drugman

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Cross-lingual Transfer Learning for Japanese Named Entity Recognition.

Andrew Johnson, Penny Karanasou, Judith Gaspers, Dietrich Klakow

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Improving Interpretability and Regularization in Deep Learning.

Chunyang Wu, Mark J. F. Gales, Anton Ragni, Penny Karanasou, Khe Chai Sim

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System.

Judith Gaspers, Penny Karanasou, Rajen Chatterjee

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models.

Penny Karanasou, Chunyang Wu, Mark J. F. Gales, Philip C. Woodland

IEEE ACM Trans. Audio Speech Lang. Process., 2017

2016

Stimulated Deep Neural Network for Speech Recognition.

Chunyang Wu, Penny Karanasou, Mark J. F. Gales, Khe Chai Sim

Proceedings of the Interspeech 2016, 2016

Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems.

Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanman Qian, Linlin Wang, Philip C. Woodland, Chao Zhang

Proceedings of the Interspeech 2016, 2016

Combining i-vector representation and structured neural networks for rapid adaptation.

Chunyang Wu, Penny Karanasou, Mark J. F. Gales

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Improved DNN-based segmentation for multi-genre broadcast audio.

Linlin Wang, Chao Zhang, Philip C. Woodland, Mark J. F. Gales, Panagiota Karanasou, Pierre Lanchantin, Xunying Liu, Yanmin Qian

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

I-vector estimation using informative priors for adaptation of deep neural networks.

Penny Karanasou, Mark J. F. Gales, Philip C. Woodland

Proceedings of the INTERSPEECH 2015, 2015

An investigation into speaker informed DNN front-end for LVCSR.

Yulan Liu, Penny Karanasou, Thomas Hain

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Cambridge university transcription systems for the multi-genre broadcast challenge.

Philip C. Woodland, Xunying Liu, Yanmin Qian, Chao Zhang, Mark J. F. Gales, Penny Karanasou, Pierre Lanchantin, Linlin Wang

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

The development of the cambridge university alignment systems for the multi-genre broadcast challenge.

Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Speaker diarisation and longitudinal linking in multi-genre broadcast data.

Penny Karanasou, Mark J. F. Gales, Pierre Lanchantin, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

Adaptation of deep neural network acoustic models using factorised i-vectors.

Penny Karanasou, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland

Proceedings of the INTERSPEECH 2014, 2014

2013

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).

Panagiota Karanasou

PhD thesis, 2013

Discriminative training of a phoneme confusion model for a dynamic lexicon in ASR.

Penny Karanasou, François Yvon, Thomas Lavergne, Lori Lamel

Proceedings of the INTERSPEECH 2013, 2013

2012

Discriminatively trained phoneme confusion model for keyword spotting.

Panagiota Karanasou, Lukás Burget, Dimitra Vergyri, Murat Akbacak, Arindam Mandal

Proceedings of the INTERSPEECH 2012, 2012

2011

Pronunciation variants generation using SMT-inspired approaches.

Panagiota Karanasou, Lori Lamel

Proceedings of the IEEE International Conference on Acoustics, 2011

Measuring the Confusability of Pronunciations in Speech Recognition.

Panagiota Karanasou, François Yvon, Lori Lamel

Proceedings of the Finite-State Methods and Natural Language Processing, 2011

Automatic Generation of a Pronunciation Dictionary with Rich Variation Coverage Using SMT Methods.

Panagiota Karanasou, Lori Lamel

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

2010

Comparing SMT Methods for Automatic Generation of Pronunciation Variants.

Panagiota Karanasou, Lori Lamel

Proceedings of the Advances in Natural Language Processing, 2010