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Papers
i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification
Interspeech 2017
i-Vector Transformation Using a Novel Discriminative Denoising Autoencoder for Noise-Robust Speaker Recognition
Interspeech 2017
Non-Local Estimation of Speech Signal for Vowel Onset Point Detection in Varied Environments
Interspeech 2017
Optimizing DNN Adaptation for Recognition of Enhanced Speech
Interspeech 2017
Robust Method for Estimating F0of Complex Tone Based on Pitch Perception of Amplitude Modulated Signal
Interspeech 2017
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
AISTATS 2017
Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling
Interspeech 2017
Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition
Interspeech 2016
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR
Interspeech 2016
An Investigation on the Use of i-Vectors for Robust ASR
Interspeech 2016
Deep Stacked Autoencoders for Spoken Language Understanding
Interspeech 2016
Directly Comparing the Listening Strategies of Humans and Machines
Interspeech 2016
DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification
Interspeech 2016
Open Language Interface for Voice Exploitation (OLIVE)
Interspeech 2016
Robust Estimation of Fundamental Frequency Using Single Frequency Filtering Approach
Interspeech 2016
Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement
Interspeech 2016
Robust Speaker Recognition with Combined Use of Acoustic and Throat Microphone Speech
Interspeech 2016
Robust Speech Recognition Using Generalized Distillation Framework
Interspeech 2016
Super-Resolution Off the Grid
NeurIPS 2015
Clustering in the Presence of Background Noise
ICML 2014
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
NeurIPS 2013
Noisy Sparse Subspace Clustering
ICML 2013
Unconfused Ultraconservative Multiclass Algorithms
ACML 2013
FilterBoost: Regression and Classification on Large Datasets
NeurIPS 2007