33 search results - page 1 / 7 » Segmentation of a speech spectrogram using mathematical morp... |
ICASSP
2008
IEEE
15 years 4 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
14 years 4 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
14 years 11 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
14 years 7 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
15 years 1 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...