Convolutional RNN: An enhanced model for extracting features from sequential data. - Gil Keren; Björn W. Schuller (IJCNN, 2016)

Convolutional Neural Networks with Data Augmentation for Classifying Speakers' Native Language. - Gil Keren; Jun Deng; Jouni Pohjalainen; Björn W. Schuller (INTERSPEECH, 2016)

Tunable Sensitivity to Large Errors in Neural Network Training. - Gil Keren; Sivan Sabato; Björn W. Schuller (AAAI, 2017)

CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. - Shahin Amiriparian; Sergey Pugachevskiy; Nicholas Cummins; Simone Hantke; Jouni Pohjalainen; Gil Keren; Björn W. Schuller (ACII, 2017)

End-to-end learning for dimensional emotion recognition from physiological signals. - Gil Keren; Tobias Kirschstein; Erik Marchi; Fabien Ringeval; Björn W. Schuller (ICME, 2017)

On Definable Skolem Functions in Weakly O-Minimal nonvaluational Structures. - Pantelis E. Eleftheriou; Assaf Hasson; Gil Keren (J. Symb. Log., 2017)

Deep learning for multisensorial and multimodal interaction. - Gil Keren; Amr El-Desoky Mousa; Olivier Pietquin; Stefanos Zafeiriou; Björn W. Schuller (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Fast Single-Class Classification and the Principle of Logit Separation. - Gil Keren; Sivan Sabato; Björn W. Schuller (ICDM, 2018)

Calibrated Prediction Intervals for Neural Network Regressors. - Gil Keren; Nicholas Cummins; Björn W. Schuller (IEEE Access, 2018)

Weakly Supervised One-Shot Detection with Attention Siamese Networks. - Gil Keren; Maximilian Schmitt; Thomas Kehrenberg; Björn W. Schuller (CoRR, 2018)

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. - Gil Keren; Jing Han 010; Björn W. Schuller (CoRR, 2018)

A Walkthrough for the Principle of Logit Separation. - Gil Keren; Sivan Sabato; Björn W. Schuller (IJCAI, 2019)

Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement. - Andreas Triantafyllopoulos; Gil Keren; Johannes Wagner 001; Ingmar Steiner; Björn W. Schuller (INTERSPEECH, 2019)

Single-Channel Speech Separation with Auxiliary Speaker Embeddings. - Shuo Liu 012; Gil Keren; Björn W. Schuller (CoRR, 2019)

N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System. - Shuo Liu 012; Gil Keren; Björn W. Schuller (CoRR, 2019)

Contextual RNN-T for Open Domain ASR. - Mahaveer Jain; Gil Keren; Jay Mahadeokar; Geoffrey Zweig; Florian Metze; Yatharth Saraf (INTERSPEECH, 2020)

Contextual RNN-T For Open Domain ASR. - Mahaveer Jain; Gil Keren; Jay Mahadeokar; Yatharth Saraf (CoRR, 2020)

Analysis of loss functions for fast single-class classification. - Gil Keren; Sivan Sabato; Björn W. Schuller (Knowl. Inf. Syst., 2020)

Neural Network Supervision: Notes on Loss Functions, Labels and Confidence Estimation. - Gil Keren (2020)

A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment. - Ju Lin; Yun Wang; Kaustubh Kalgaonkar; Gil Keren; Didi Zhang; Christian Fuegen (ICASSP, 2021)

Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. - Duc Le; Mahaveer Jain; Gil Keren; Suyoun Kim; Yangyang Shi; Jay Mahadeokar; Julian Chan; Yuan Shangguan; Christian Fuegen; Ozlem Kalinli; Yatharth Saraf; Michael L. Seltzer (Interspeech, 2021)

A Two-Stage Approach to Speech Bandwidth Extension. - Ju Lin; Yun Wang; Kaustubh Kalgaonkar; Gil Keren; Didi Zhang; Christian Fuegen (Interspeech, 2021)

Deep Shallow Fusion for RNN-T Personalization. - Duc Le; Gil Keren; Julian Chan; Jay Mahadeokar; Christian Fuegen; Michael L. Seltzer (SLT, 2021)

Alignment Restricted Streaming Recurrent Neural Network Transducer. - Jay Mahadeokar; Yuan Shangguan; Duc Le; Gil Keren; Hang Su; Thong Le; Ching-Feng Yeh; Christian Fuegen; Michael L. Seltzer (SLT, 2021)

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement. - Shuo Liu 012; Gil Keren; Emilia Parada-Cabaleiro; Björn W. Schuller (Multim. Tools Appl., 2021)

Scaling ASR Improves Zero and Few Shot Learning. - Weiyi Zheng; Alex Xiao; Gil Keren; Duc Le; Frank Zhang 001; Christian Fuegen; Ozlem Kalinli; Yatharth Saraf; Abdelrahman Mohamed (INTERSPEECH, 2022)

A Token-Wise Beam Search Algorithm for RNN-T. - Gil Keren (ASRU, 2023)

PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation. - Puneet Mathur; Zhe Liu 011; Ke Li 018; Yingyi Ma; Gil Keren; Zeeshan Ahmed; Dinesh Manocha; Xuedong Zhang (EMNLP (Findings), 2023)

Improving fast-slow Encoder based Transducer with Streaming Deliberation. - Ke Li 023; Jay Mahadeokar; Jinxi Guo; Yangyang Shi; Gil Keren; Ozlem Kalinli; Michael L. Seltzer; Duc Le (ICASSP, 2023)

Text Generation with Speech Synthesis for ASR Data Augmentation. - Zhuangqun Huang; Gil Keren; Ziran Jiang; Shashank Jain; David Goss-Grubbs; Nelson Cheng; Farnaz Abtahi; Duc Le; David Zhang; Antony D'Avirro; Ethan Campbell-Taylor; Jessie Salas; et al. (CoRR, 2023)

Towards Selection of Text-to-speech Data to Augment ASR Training. - Shuo Liu; Leda Sari; Chunyang Wu; Gil Keren; Yuan Shangguan; Jay Mahadeokar; Ozlem Kalinli (CoRR, 2023)

DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. - Puneet Mathur; Zhe Liu 011; Ke Li 018; Yingyi Ma; Gil Keren; Zeeshan Ahmed; Dinesh Manocha; Xuedong Zhang (LREC/COLING, 2024)

Token-Weighted RNN-T For Learning From Flawed Data. - Gil Keren; Wei Zhou; Ozlem Kalinli (SLT, 2024)

Efficient Streaming LLM for Speech Recognition. - Junteng Jia; Gil Keren; Wei Zhou; Egor Lakomkin; Xiaohui Zhang 007; Chunyang Wu; Frank Seide; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)

Faster Speech-LLaMA Inference with Multi-token Prediction. - Desh Raj; Gil Keren; Junteng Jia; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)

Speech-N-LlaMA: Improving Speech LLMs with Multi-Pass Training. - Amit Kumar Singh Yadav; Gil Keren; Desh Raj; Wei Zhou; Junteng Jia; Ke Li 018; Ying Xu; Chunyang Wu; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)

M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses. - Yufeng Yang; Desh Raj; Ju Lin; Niko Moritz; Junteng Jia; Gil Keren; Egor Lakomkin; Yiteng Huang; Jacob Donley; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)