Papers
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition
Animesh Prasad, Khe Chai Sim
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling
Yusuke Fujita, Ryoich Takashima, Takeshi Homma et al.
Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions
Dung T. Tran, Marc Delroix, Atsunori Ogawa et al.
Optimization of Speech Enhancement Front-End with Speech Recognition-Level Criterion
Takuya Higuchi, Takuya Yoshioka, Tomohiro Nakatani
Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition
Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition
Erfan Loweimi, Jon Barker, Thomas Hain
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR
Louis ten Bosch, Bert Cranen, Yang Sun
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models
Natalia Tomashenko, Yuri Khokhlov, Yannick Estève
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement
Kehuang Li, Bo Wu, Chin-Hui Lee
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement
Szu-Wei Fu, Yu Tsao, Xugang Lu
A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement
Ziteng Wang, Xu Li, Xiaofei Wang et al.
A priori SNR Estimation Using a Generalized Decision Directed Approach
Aleksej Chinaev, Reinhold Haeb-Umbach
Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech
Li Li, Hirokazu Kameoka, Takuya Higuchi et al.
HMM-Based Speech Enhancement Using Sub-Word Models and Noise Adaptation
Akihiro Kato, Ben Milner
Perception Optimized Deep Denoising AutoEncoders for Speech Enhancement
Prashanth Gurunath Shivakumar, Panayiotis Georgiou
Speech Enhancement in Multiple-Noise Conditions Using Deep Neural Networks
Anurag Kumar, Dinei Florencio
Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement
Atsunori Ogawa, Shogo Seki, Keisuke Kinoshita et al.
A Class-Specific Speech Enhancement for Phoneme Recognition: A Dictionary Learning Approach
Nazreen P.M., A.G. Ramakrishnan, Prasanta Kumar Ghosh
Two-Stage Temporal Processing for Single-Channel Speech Enhancement
Suman Samui, Indrajit Chakrabarti, Soumya Kanti Ghosh
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions
Jishnu Sadasivan, Chandra Sekhar Seelamantula
SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement
Tian Gao, Jun Du, Li-Rong Dai et al.
Novel Subband Autoencoder Features for Non-Intrusive Quality Assessment of Noise Suppressed Speech
Meet H. Soni, Hemant A. Patil
Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis
Cheung-Chi Leung, Lei Wang, Haihua Xu et al.