Improved Bottleneck Feature using Hierarchical Deep Belief Networks for Keyword Spotting in Continues Speech

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
BottleNeck (BN) feature has attracted considerable attentions by its capacity of improving the accuracies in speech recognition tasks. Recently, researchers have proposed some modified approaches for extracting more effective BN feature, but these approaches still need further improvement. In this paper, motivated by both Deep Belief Networks (DBNs) and hierarchical MultiLayer Perceptron (MLP), the authors propose hierarchical DBNs based BN feature and employed it for keyword spotting task. The hierarchical DBNs based BN feature is constructed with two DBNs in series which are sequentially trained.

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