33 search results - page 1 / 7 » Segmentation of a speech spectrogram using mathematical morp... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
It has been shown that speech spectrograms can be read by trained experts. In this work, we regard the speech spectrogram image as a written text in some unknown language and perf...
INTERSPEECH
2010
12 years 11 months ago
2010
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
NIPS
2004
13 years 6 months ago
2004
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we present a general theory of adaptive mathematical morphology (AMM) in the Euclidean space. The proposed theory preserves the notion of a structuring element, whi...
MICCAI
1998
Springer
13 years 9 months ago
1998
Springer
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...