Learning An Invariant Speech Representation

Learning An Invariant Speech Representation

Recognition of speech, and in particular the ability to generalize and learn from small sets of labelled examples like humans do, depends on an appropriate representation of the acoustic input. We formulate the problem of finding robust speech features for supervised learning with small sample compl...

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Bibliographic Details
Main Authors: Evangelopoulos, Georgios, Voinea, Stephen, Zhang, Chiyuan, Rosasco, Lorenzo, Poggio, Tomaso
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2015
Subjects:
Speech Recognition
Invariance
Machine Learning
Language
Online Access:http://hdl.handle.net/1721.1/100186

Internet

http://hdl.handle.net/1721.1/100186

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