Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
A microblogged stream is delivered over time, providing an ongoing commentary of topics, trends, and issues. In this article, we present two methods of finding temporal topics wi...
David A. Shamma, Lyndon Kennedy, Elizabeth F. Chur...
This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classifiers to learn the probability of deleting ...
\Prose rhythm" is a widely observed but scarcely quanti ed phenomenon. We describe an information-theoretic model for measuring the regularity of lexical stress in English te...
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...