FedNST: Federated Noisy Student Training for Automatic Speech Recognition. - Haaris Mehmood; Agnieszka Dobrowolska; Karthikeyan Saravanan; Mete Ozay (INTERSPEECH, 2022)

pMCT: Patched Multi-Condition Training for Robust Speech Recognition. - Pablo Peso Parada; Agnieszka Dobrowolska; Karthikeyan Saravanan; Mete Ozay (INTERSPEECH, 2022)

Locality Enhanced Dynamic Biasing and Sampling Strategies For Contextual ASR. - Md Asif Jalal; Pablo Peso Parada; George Pavlidis; Vasileios Moschopoulos; Karthikeyan Saravanan; Chrysovalantis-Giorgos Kontoulis; Jisi Zhang; Anastasios Drosou; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ASRU, 2023)

Consistency Based Unsupervised Self-Training for ASR Personalisation. - Jisi Zhang; Vandana Rajan; Haaris Mehmood; David Tuckey; Pablo Peso Parada; Md Asif Jalal; Karthikeyan Saravanan; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ASRU, 2023)

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer. - Md Asif Jalal; Pablo Peso Parada; Jisi Zhang; Mete Ozay; Karthikeyan Saravanan; Myoungji Han; Jungin Lee; Seokyeong Jung (INTERSPEECH, 2023)

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer. - Md Asif Jalal; Pablo Peso Parada; Jisi Zhang; Karthikeyan Saravanan; Mete Ozay; Myoungji Han; Jungin Lee; Seokyeong Jung (CoRR, 2023)

Privacy-preserving Federated Learning and its application to natural language processing. - Balázs Nagy; István Hegedüs; Noémi Sándor; Balázs Egedi; Haaris Mehmood; Karthikeyan Saravanan; Gábor Lóki; Ákos Kiss 001 (Knowl. Based Syst., 2023)

Exploring compressibility of transformer based text-to-music (TTM) models. - Vasileios Moschopoulos; Thanasis Kotsiopoulos; Pablo Peso Parada; Konstantinos Nikiforidis; Alexandros Stergiadis; Gerasimos Papakostas; Md Asif Jalal; Jisi Zhang; Anastasios Drosou; Karthikeyan Saravanan (INTERSPEECH, 2024)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. - Jie Xu; Karthikeyan Saravanan; Rogier van Dalen; Haaris Mehmood; David Tuckey; Mete Ozay (CoRR, 2024)

ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. - Haaris Mehmood; Karthikeyan Saravanan; Pablo Peso Parada; David Tuckey; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)

persoDA: Personalized Data Augmentation for Personalized ASR. - Pablo Peso Parada; Spyros Fontalis; Md Asif Jalal; Karthikeyan Saravanan; Anastasios Drosou; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)

Diffusion based Text-to-Music Generation with Global and Local Text based Conditioning. - Jisi Zhang; Pablo Peso Parada; Md Asif Jalal; Karthikeyan Saravanan (ICASSP, 2025)