Gil Keren
Gil Keren
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Zitiert von
Zitiert von
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
G Keren, B Schuller
International Joint Conference on Neural Networks (IJCNN), 2016, 3412-3419, 2016
End-to-End Learning for Dimensional Emotion Recognition from Physiological Signals
G Keren, T Kirschstein, E Marchi, F Ringeval, B Schuller
IEEE International Conference on Multimedia and Expo (ICME), 985-990, 2017
Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement
A Triantafyllopoulos, G Keren, J Wagner, I Steiner, B Schuller
INTERSPEECH, 1691-1695, 2019
Calibrated Prediction Intervals for Neural Network Regressors
G Keren, N Cummins, B Schuller
IEEE Access 6, 54033 - 54041, 2018
Alignment restricted streaming recurrent neural network transducer
J Mahadeokar, Y Shangguan, D Le, G Keren, H Su, T Le, CF Yeh, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 52-59, 2021
CAST a Database: Rapid Targeted Large-Scale Big Data Acquisition via Small-World Modelling of Social Media Platforms
S Amiriparian, S Pugachevskiy, N Cummins, S Hantke, J Pohjalainen, ...
Affective Computing and Intelligent Interaction, 2017
Convolutional neural networks with data augmentation for classifying speakers' native language
G Keren, J Deng, J Pohjalainen, B Schuller
Contextual RNN-T for open domain ASR
M Jain, G Keren, J Mahadeokar, G Zweig, F Metze, Y Saraf
INTERSPEECH 2020, 2020
Deep shallow fusion for RNN-T personalization
D Le, G Keren, J Chan, J Mahadeokar, C Fuegen, ML Seltzer
2021 IEEE Spoken Language Technology Workshop (SLT), 251-257, 2021
Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion
D Le, M Jain, G Keren, S Kim, Y Shi, J Mahadeokar, J Chan, ...
INTERSPEECH 2021, 2021
A time-domain convolutional recurrent network for packet loss concealment
J Lin, Y Wang, K Kalgaonkar, G Keren, D Zhang, C Fuegen
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Fast Single-Class Classification and the Principle of Logit Separation
G Keren, S Sabato, B Schuller
International Conference on Data Mining (ICDM), 2018
Deep learning for multisensorial and multimodal interaction
G Keren, AED Mousa, O Pietquin, S Zafeiriou, B Schuller
The Handbook of Multimodal-Multisensor Interfaces: Signal Processing …, 2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
G Keren, J Han, B Schuller
the Fifth CHiME Challenge Workshop, 2018
Emotion recognition in speech with latent discriminative representations learning
J Han, Z Zhang, G Keren, B Schuller
Acta Acustica united with Acustica 104 (5), 737-740, 2018
Tunable Sensitivity to Large Errors in Neural Network Training
G Keren, S Sabato, BW Schuller
AAAI, 2087-2093, 2017
Weakly supervised one-shot detection with attention siamese networks
G Keren, M Schmitt, T Kehrenberg, B Schuller
stat 1050, 12, 2018
On Definable Skolem Functions in Weakly O-Minimal Nonvaluational Structures
PE Eleftheriou, A Hasson, G Keren
The Journal of Symbolic Logic 82 (4), 1482-1495, 2017
Scaling asr improves zero and few shot learning
A Xiao, W Zheng, G Keren, D Le, F Zhang, C Fuegen, O Kalinli, Y Saraf, ...
arXiv preprint arXiv:2111.05948, 2021
Analysis of loss functions for fast single-class classification
G Keren, S Sabato, B Schuller
Knowledge and Information Systems 62 (1), 337-358, 2020
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