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ICASSP
2010
IEEE
15 years 7 months ago
Multi-style MLP features for BN transcription
It has become common practice to adapt acoustic models to specific-conditions (gender, accent, bandwidth) in order to improve the performance of speech-to-text (STT) transcriptio...
Viet-Bac Le, Lori Lamel, Jean-Luc Gauvain
IR
2002
15 years 7 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
TSD
2010
Springer
15 years 5 months ago
Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
Martin Karafiát, Igor Szöke, Jan Cerno...
BTW
2009
Springer
240views Database» more  BTW 2009»
15 years 8 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
ECCV
2006
Springer
16 years 9 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher