Simplifying very deep convolutional neural network architectures for robust speech recognition. - Joanna Rownicka; Steve Renals; Peter Bell 001 (ASRU, 2017)

Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation. - Joanna Rownicka; Peter Bell 001; Steve Renals (SLT, 2018)

Embeddings for DNN Speaker Adaptive Training. - Joanna Rownicka; Peter Bell 001; Steve Renals (ASRU, 2019)

Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features. - Jennifer Williams 001; Joanna Rownicka (INTERSPEECH, 2019)

Multi-Scale Octave Convolutions for Robust Speech Recognition. - Joanna Rownicka; Peter Bell 001; Steve Renals (ICASSP, 2020)

An Unsupervised Method to Select a Speaker Subset from Large Multi-Speaker Speech Synthesis Datasets. - Pilar Oplustil Gallegos; Jennifer Williams 001; Joanna Rownicka; Simon King 001 (INTERSPEECH, 2020)

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis. - Jennifer Williams 001; Joanna Rownicka; Pilar Oplustil; Simon King 001 (Odyssey, 2020)

Digital Einstein Experience: Fast Text-to-Speech for Conversational AI. - Joanna Rownicka; Kilian Sprenkamp; Antonio Tripiana; Volodymyr Gromoglasov; Timo P. Kunz (Interspeech, 2021)

Deep representation learning for speech recognition. - Joanna Rownicka (2021)