5 papers
A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis
Karoline da Rocha, José C. M. Bermudez, Elena R. C. Rivero +1
The Epithelial Dysplasia (ED) is a tissue alteration commonly present in lesions preceding oral cancer, being its presence one of the most important factors in the progression towa…
Robust parameter design for Wiener-based binaural noise reduction methods in hearing aids
Diego M. Carmo, Ricardo Borsoi, Márcio H. Costa
This work presents a method for designing the weighting parameter required by Wiener-based binaural noise reduction methods. This parameter establishes the desired tradeoff between…
Speech Dereverberation and Noise Reduction for both diffusive noise field and point noise source in Binaural Hearing Aids: Preliminary Version
Johnny Werner, Marcio H. Costa
The multichannel Wiener filter (MWF) and its variations have been extensively applied to binaural hearing aids. However, its major drawback is the distortion of the binaural cues o…
New insights on the optimality of parameterized wiener filters for speech enhancement applications
Rafael Attili Chiea, Márcio Holsbach Costa, Guillaume Barrault
This work presents a unified framework for defining a family of noise reduction techniques for speech enhancement applications. The proposed approach provides a unique theoretical…
Perceptually Relevant Preservation of Interaural Time Differences in Binaural Hearing Aids
Fábio P. Itturriet, Márcio H. Costa
This work presents a noise reduction method with perceptually relevant preservation of the interaural time difference (ITD) of the residual noise in binaural hearing aids. The inte…