Gil Keren

According to our database, Gil Keren authored at least 31 papers between 2016 and 2023.

Collaborative distances:

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

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

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, Irina-Elena Veliche, Xi Chen

CoRR, 2023

Improving fast-slow Encoder based Transducer with Streaming Deliberation.

Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le

Proceedings of the IEEE International Conference on Acoustics, 2023

PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation.

Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Token-Wise Beam Search Algorithm for RNN-T.

Gil Keren

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Scaling ASR Improves Zero and Few Shot Learning.

Weiyi Zheng, Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed

Proceedings of the Interspeech 2022, 2022

2021

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement.

Shuo Liu, Gil Keren, Emilia Parada-Cabaleiro, Björn W. Schuller

Multim. Tools Appl., 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

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Deep Shallow Fusion for RNN-T Personalization.

Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

A Two-Stage Approach to Speech Bandwidth Extension.

Ju Lin, Yun Wang, Kaustubh Kalgaonkar, Gil Keren, Didi Zhang, Christian Fuegen

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

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

A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment.

Ju Lin, Yun Wang, Kaustubh Kalgaonkar, Gil Keren, Didi Zhang, Christian Fuegen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Neural Network Supervision: Notes on Loss Functions, Labels and Confidence Estimation.

Gil Keren

PhD thesis, 2020

Analysis of loss functions for fast single-class classification.

Gil Keren, Sivan Sabato, Björn W. Schuller

Knowl. Inf. Syst., 2020

Contextual RNN-T For Open Domain ASR.

Mahaveer Jain, Gil Keren, Jay Mahadeokar, Yatharth Saraf

CoRR, 2020

Contextual RNN-T for Open Domain ASR.

Mahaveer Jain, Gil Keren, Jay Mahadeokar, Geoffrey Zweig, Florian Metze, Yatharth Saraf

Proceedings of the Interspeech 2020, 2020

2019

N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System.

Shuo Liu, Gil Keren, Björn W. Schuller

CoRR, 2019

Single-Channel Speech Separation with Auxiliary Speaker Embeddings.

Shuo Liu, Gil Keren, Björn W. Schuller

CoRR, 2019

Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement.

Andreas Triantafyllopoulos, Gil Keren, Johannes Wagner, Ingmar Steiner, Björn W. Schuller

Proceedings of the Interspeech 2019, 2019

A Walkthrough for the Principle of Logit Separation.

Gil Keren, Sivan Sabato, Björn W. Schuller

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings.

Gil Keren, Jing Han, Björn W. Schuller

CoRR, 2018

Weakly Supervised One-Shot Detection with Attention Siamese Networks.

Gil Keren, Maximilian Schmitt, Thomas Kehrenberg, Björn W. Schuller

CoRR, 2018

Calibrated Prediction Intervals for Neural Network Regressors.

Gil Keren, Nicholas Cummins, Björn W. Schuller

IEEE Access, 2018

Fast Single-Class Classification and the Principle of Logit Separation.

Gil Keren, Sivan Sabato, Björn W. Schuller

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep learning for multisensorial and multimodal interaction.

Gil Keren, Amr El-Desoky Mousa, Olivier Pietquin, Stefanos Zafeiriou, Björn W. Schuller

Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018

2017

On Definable Skolem Functions in Weakly O-Minimal nonvaluational Structures.

Pantelis E. Eleftheriou, Assaf Hasson, Gil Keren

J. Symb. Log., 2017

End-to-end learning for dimensional emotion recognition from physiological signals.

Gil Keren, Tobias Kirschstein, Erik Marchi, Fabien Ringeval, Björn W. Schuller

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 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

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

Tunable Sensitivity to Large Errors in Neural Network Training.

Gil Keren, Sivan Sabato, Björn W. Schuller

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Convolutional Neural Networks with Data Augmentation for Classifying Speakers' Native Language.

Gil Keren, Jun Deng, Jouni Pohjalainen, Björn W. Schuller

Proceedings of the Interspeech 2016, 2016

Convolutional RNN: An enhanced model for extracting features from sequential data.

Gil Keren, Björn W. Schuller

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016