Coupled dictionary training for exemplar-based speech enhancement. - Deepak Baby; Tuomas Virtanen; Tom Barker; Hugo Van hamme (ICASSP, 2014)

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Tom Barker; Hugo Van hamme (SLT, 2014)

Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries. - Deepak Baby; Hugo Van hamme (EUSIPCO, 2015)

Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement. - Emre Yilmaz 001; Deepak Baby; Hugo Van hamme (EUSIPCO, 2015)

Exemplar-based speech enhancement for deep neural network based automatic speech recognition. - Deepak Baby; Jort F. Gemmeke; Tuomas Virtanen; Hugo Van hamme (ICASSP, 2015)

Investigating modulation spectrogram features for deep neural network-based automatic speech recognition. - Deepak Baby; Hugo Van hamme (INTERSPEECH, 2015)

Noise robust exemplar matching for speech enhancement: applications to automatic speech recognition. - Emre Yilmaz 001; Deepak Baby; Hugo Van hamme (INTERSPEECH, 2015)

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Supervised speech dereverberation in noisy environments using exemplar-based sparse representations. - Deepak Baby; Hugo Van hamme (ICASSP, 2016)

Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint. - Deepak Baby; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems. - Deepak Baby; Sarah Verhulst (INTERSPEECH, 2018)

Machines hear better when they have ears. - Deepak Baby; Sarah Verhulst (CoRR, 2018)

Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty. - Deepak Baby; Sarah Verhulst (ICASSP, 2019)

Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications. - Arthur Van Den Broucke; Deepak Baby; Sarah Verhulst (INTERSPEECH, 2020)

iSEGAN: Improved Speech Enhancement Generative Adversarial Networks. - Deepak Baby (CoRR, 2020)

Speech Dereverberation Using Variational Autoencoders. - Deepak Baby; Hervé Bourlard (ICASSP, 2021)

A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. - Deepak Baby; Arthur Van Den Broucke; Sarah Verhulst (Nat. Mach. Intell., 2021)

Incremental learning for RNN-Transducer based speech recognition models. - Deepak Baby; Pasquale D'Alterio; Valentin Mendelev (INTERSPEECH, 2022)

Residual Adapters for Targeted Updates in RNN-Transducer Based Speech Recognition System. - Sungjun Han; Deepak Baby; Valentin Mendelev (SLT, 2022)