báo cáo hóa học:" Decision tree-based acoustic models for speech recognition"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Decision tree-based acoustic models for speech recognition | EURASIP Journal on Audio Speech and Music Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Decision tree-based acoustic models for speech recognition EURASIP Journal on Audio Speech and Music Processing 2012 2012 10 doi 1687-4722-2012-10 Masami Akamine Jitendra Ajmera jajmera1@ ISSN 1687-4722 Article type Research Submission date 21 April 2011 Acceptance date 17 February 2012 Publication date 17 February 2012 Article URL http content 2012 1 10 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP ASMP go to http authors instructions For information about other SpringerOpen publications go to http 2012 Akamine and Ajmera licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Decision tree-based acoustic models for speech recognition Masami Akamine 1 and Jitendra Ajmera2 1Toshiba Corporate R D Center 1 Komukai Toshiba Saiwai Kawasaki 212-8582 Japan 2IBM Research Lab. 4 Block C Institutional Area Vasant Kunj New Delhi 110070 India Corresponding author Email address JA jajmera1@ Abstract This article proposes a new acoustic model using decision trees DTs as replacements for Gaussian mixture models GMM to compute the observation likelihoods for a given hidden Markov model state in a speech recognition system. DTs have a number of advantageous properties such as that they do not impose .

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