Multi Channel Sequence Processing

Abstract. This paper summarizes some of the current research challenges arising from multi-channel sequence processing. Indeed, multiple real life applications involve simultaneous recording and analysis of multiple information sources, which may be asynchronous, have different frame rates, exhibit different stationarity properties, and carry complementary (or correlated) information. Some of these problems can already be tackled by one of the many statistical approaches towards sequence modeling. However, several challenging research issues are still open, such as taking into account asynchrony and correlation between several feature streams, or handling the underlying growing complexity. In this framework, we discuss here two novel approaches, which recently started to be investigated with success in the context of large multimodal problems. These include the asynchronous HMM, providing a principled approach towards the processing of multiple feature streams, and the layered HMM ap...

• Type: Conference
• Year: 2004
• Where: DSMML
• Authors: Samy Bengio, Hervé Bourlard
• Keywords: DSMML 2004, Feature Streams, Layered Hmm Approach, Machine Learning, Multi-channel Sequence Processing