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Deepak Baby
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2020 – today
- 2022
- [c14]Deepak Baby, Pasquale D'Alterio, Valentin Mendelev:
Incremental learning for RNN-Transducer based speech recognition models. INTERSPEECH 2022: 71-75 - [c13]Sungjun Han, Deepak Baby, Valentin Mendelev:
Residual Adapters for Targeted Updates in RNN-Transducer Based Speech Recognition System. SLT 2022: 160-166 - 2021
- [j3]Deepak Baby
, Arthur Van Den Broucke, Sarah Verhulst
:
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. Nat. Mach. Intell. 3(2): 134-143 (2021) - [c12]Deepak Baby, Hervé Bourlard:
Speech Dereverberation Using Variational Autoencoders. ICASSP 2021: 5784-5788 - 2020
- [c11]Arthur Van Den Broucke, Deepak Baby, Sarah Verhulst:
Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications. INTERSPEECH 2020: 2842-2846 - [i3]Deepak Baby:
iSEGAN: Improved Speech Enhancement Generative Adversarial Networks. CoRR abs/2002.08796 (2020) - [i2]Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst:
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. CoRR abs/2004.14832 (2020)
2010 – 2019
- 2019
- [c10]Deepak Baby
, Sarah Verhulst:
Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty. ICASSP 2019: 106-110 - 2018
- [c9]Deepak Baby
, Sarah Verhulst:
Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems. INTERSPEECH 2018: 3264-3268 - [i1]Deepak Baby, Sarah Verhulst:
Machines hear better when they have ears. CoRR abs/1806.01145 (2018) - 2017
- [j2]Deepak Baby
, Hugo Van hamme
:
Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 2024-2035 (2017) - 2016
- [c8]Deepak Baby
, Hugo Van hamme
:
Supervised speech dereverberation in noisy environments using exemplar-based sparse representations. ICASSP 2016: 156-160 - 2015
- [j1]Deepak Baby
, Tuomas Virtanen
, Jort F. Gemmeke, Hugo Van hamme
:
Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1788-1799 (2015) - [c7]Emre Yilmaz
, Deepak Baby
, Hugo Van hamme
:
Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement. EUSIPCO 2015: 874-878 - [c6]Deepak Baby
, Hugo Van hamme
:
Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries. EUSIPCO 2015: 1676-1680 - [c5]Deepak Baby
, Jort F. Gemmeke, Tuomas Virtanen
, Hugo Van hamme
:
Exemplar-based speech enhancement for deep neural network based automatic speech recognition. ICASSP 2015: 4485-4489 - [c4]Emre Yilmaz, Deepak Baby, Hugo Van hamme:
Noise robust exemplar matching for speech enhancement: applications to automatic speech recognition. INTERSPEECH 2015: 688-692 - [c3]Deepak Baby, Hugo Van hamme
:
Investigating modulation spectrogram features for deep neural network-based automatic speech recognition. INTERSPEECH 2015: 2479-2483 - 2014
- [c2]Deepak Baby
, Tuomas Virtanen
, Tom Barker, Hugo Van hamme
:
Coupled dictionary training for exemplar-based speech enhancement. ICASSP 2014: 2883-2887 - [c1]Deepak Baby
, Tuomas Virtanen
, Jort F. Gemmeke, Tom Barker, Hugo Van hamme
:
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. SLT 2014: 519-524
Coauthor Index
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last updated on 2024-04-25 05:57 CEST by the dblp team
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