Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning 

Biologically inspired auditory attention models with applications in speech and audio processing 

Advanced features and feature selection methods for vibration and audio signal classification 

Recognition and characterization of unstructured environmental sounds 

Variable reverberation in performance spaces: Passive and active acoustic systems 

Representation, classification and information fusion for robust and efficient multimodal human states recognition 

Understanding sources of variability in learning robust deep audio representations 

Biologically inspired overcomplete representation, feature extraction and object classification 

Efficient machine learning techniques for low- and high-dimensional data sources 

An evolution in listening: An analytical and critical study of structural, acoustic, and phenomenal aspects of selected works by Pauline Oliveros 

Contextual modeling of audio signals toward information retrieval 

Classification and retrieval of environmental sounds 

Green learning for 3D point cloud data processing 

Acoustic imaging by holograpah 

Unsupervised domain adaptation with private data 

Exploiting latent reliability information for classification tasks 

Smart monitoring and autonomous situation classification of humans and machines 

Classification of partial discharges of power transformers with neural network applications 

Acoustic predictors of Type A behavior. 

Novel variations of sparse representation techniques with applications 

Efficient management techniques for large video collections 

Enhancing speech to speech translation through exploitation of bilingual resources and paralinguistic information 

A computational framework for exploring the role of speech production in speech processing from a communication system perspective 

Speech recognition error modeling for robust speech processing and natural language understanding applications 

Data-driven methods in description-based approaches to audio information processing