Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Neerad Phansalkar"'
Autor:
Ritwik Giri, Jean-Marc Valin, Karim Helwani, Umut Isik, Neerad Phansalkar, Arvindh Krishnaswamy
Publikováno v:
INTERSPEECH
Over the past few years, speech enhancement methods based on deep learning have greatly surpassed traditional methods based on spectral subtraction and spectral estimation. Many of these new techniques operate directly in the the short-time Fourier t
Autor:
Arvindh Krishnaswamy, Karim Helwani, Umut Isik, Neerad Phansalkar, Ritwik Giri, Jean-Marc Valin
Publikováno v:
INTERSPEECH
Neural network applications generally benefit from larger-sized models, but for current speech enhancement models, larger scale networks often suffer from decreased robustness to the variety of real-world use cases beyond what is encountered in train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f0954a885e6ab74a755411ca526b032
http://arxiv.org/abs/2008.04470
http://arxiv.org/abs/2008.04470
Publikováno v:
2011 International Conference on Communications and Signal Processing.
Accurate cell nucleus segmentation is necessary for automated cytological image analysis. Thresholding is a crucial step in segmentation. The accuracy of segmentation depends on the accuracy of thresholding. In this paper we propose a new method for
Autor:
Neerad Phansalkar
Publikováno v:
2010 IEEE International Conference on Computational Intelligence and Computing Research.
The success of restoring images degraded by motion blur highly depends on precise estimation of parameters such as motion direction and length that were involved in the motion Point Spread Function (PSF). This paper presents a new method for determin