Comparing SMT Methods for Automatic Generation of Pronunciation Variants. - Panagiota Karanasou; Lori Lamel (IceTAL, 2010)

Automatic Generation of a Pronunciation Dictionary with Rich Variation Coverage Using SMT Methods. - Panagiota Karanasou; Lori Lamel (CICLing (2), 2011)

Measuring the Confusability of Pronunciations in Speech Recognition. - Panagiota Karanasou; François Yvon; Lori Lamel (FSMNLP, 2011)

Pronunciation variants generation using SMT-inspired approaches. - Panagiota Karanasou; Lori Lamel (ICASSP, 2011)

Discriminatively trained phoneme confusion model for keyword spotting. - Panagiota Karanasou; Lukás Burget; Dimitra Vergyri; Murat Akbacak; Arindam Mandal (INTERSPEECH, 2012)

Discriminative training of a phoneme confusion model for a dynamic lexicon in ASR. - Penny Karanasou; François Yvon; Thomas Lavergne; Lori Lamel (INTERSPEECH, 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 (2013)

Adaptation of deep neural network acoustic models using factorised i-vectors. - Penny Karanasou; Yongqiang Wang 006; Mark J. F. Gales; Philip C. Woodland (INTERSPEECH, 2014)

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 031 (ASRU, 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 031 (ASRU, 2015)

Cambridge university transcription systems for the multi-genre broadcast challenge. - Philip C. Woodland; Xunying Liu; Yanmin Qian; Chao Zhang 031; Mark J. F. Gales; Penny Karanasou; Pierre Lanchantin; Linlin Wang (ASRU, 2015)

An investigation into speaker informed DNN front-end for LVCSR. - Yulan Liu; Penny Karanasou; Thomas Hain (ICASSP, 2015)

I-vector estimation using informative priors for adaptation of deep neural networks. - Penny Karanasou; Mark J. F. Gales; Philip C. Woodland (INTERSPEECH, 2015)

Improved DNN-based segmentation for multi-genre broadcast audio. - Linlin Wang; Chao Zhang 031; Philip C. Woodland; Mark J. F. Gales; Panagiota Karanasou; Pierre Lanchantin; Xunying Liu; Yanmin Qian (ICASSP, 2016)

Combining i-vector representation and structured neural networks for rapid adaptation. - Chunyang Wu; Penny Karanasou; Mark J. F. Gales (ICASSP, 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 031 (INTERSPEECH, 2016)

Stimulated Deep Neural Network for Speech Recognition. - Chunyang Wu; Penny Karanasou; Mark J. F. Gales; Khe Chai Sim (INTERSPEECH, 2016)

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)

Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System. - Judith Gaspers; Penny Karanasou; Rajen Chatterjee (NAACL-HLT (3), 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)

Cross-lingual Transfer Learning for Japanese Named Entity Recognition. - Andrew Johnson; Penny Karanasou; Judith Gaspers; Dietrich Klakow (NAACL-HLT (2), 2019)

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 (ICASSP, 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 (ICASSP, 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 (Interspeech, 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 (SSW, 2021)

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 (INTERSPEECH, 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 (INTERSPEECH, 2022)

Cross-lingual Style Transfer with Conditional Prior VAE and Style Loss. - Dino Rattcliffe; You Wang; Alex Mansbridge; Penny Karanasou; Alexis Moinet; Marius Cotescu (INTERSPEECH, 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)

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)

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 (INTERSPEECH, 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; et al. (SSW, 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 (SSW, 2023)

Speak & Improve Challenge 2025: Tasks and Baseline Systems. - Mengjie Qian 001; Kate M. Knill; Stefano Bannò; Siyuan Tang; Penny Karanasou; Mark J. F. Gales; Diane Nicholls (CoRR, 2024)

Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making. - Jincheng Wang; Penny Karanasou; Pengyuan Wei; Elia Gatti; Diego Martínez Plasencia; Dimitrios Kanoulas (ICLR, 2025)

Data Augmentation for Spoken Grammatical Error Correction. - Penny Karanasou; Mengjie Qian 001; Stefano Bannò; Mark J. F. Gales; Kate M. Knill (CoRR, 2025)