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Robust audio segmentation

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Robust audio segmentation

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End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

Sparse and Low-rank Modeling for Automatic Speech Recognition

Audio Feature Extraction with Convolutional Neural Autoencoders with Application to Voice Conversion

Understanding and Visualizing Raw Waveform-based CNNs

The Speed Submission to DIHARD II: Contributions & Lessons Learned

Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Spherical Clustering of Users Navigating 360° Content

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

HMM-based Approaches to Model Multichannel Information in Sign Language inspired from Articulatory Features-based Speech Processing