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1
Webpage Understanding: an Integrated Approach
In: http://research.microsoft.com/users/znie/SIGKDD2007_extraction.pdf (2007)
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2
Description of acoustic variations by hidden Markov models with tree structure ...
Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007
Abstract: Abstract: "This paper provides a description of the acoustic variations of speech and its application to a speech recognition system using hidden Markov models. There are many sources of variabilities that affect the realization of a phoneme: phonetic contexts, speakers, stress, speaking rates and so on. Explicit modeling with these sources of variabilities will give more accurate and more detailed phone models, but even with a large amount of speech data, it is necessary to put some structure to the description for robustness. Tree-based HMMs are discussed as one of such structures.Three case studies are presented: HMMs with large VQ codebook sizes, decision tree clustering and speaker-clustering. They are tested on speaker-independent continuous speech recognition experiments with a 1,000 word vocabulary. Trainability and generalizability are discussed based on the experimental results." ...
Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6604754
https://kilthub.cmu.edu/articles/Description_of_acoustic_variations_by_hidden_Markov_models_with_tree_structure/6604754
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3
Description of acoustic variations by hidden Markov models with tree structure ...
Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007
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4
Tangerine: A Large Vocabulary Mandarin Dictation System
In: http://knowledge.krdl.org.sg/papers/zip/ghl-95.pdf (1995)
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5
The SPHINX-II Speech Recognition System: An Overview
In: ftp://reports.adm.cs.cmu.edu/usr/anon/1992/CMU-CS-92-112.ps (1992)
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6
Recent progress in robust vocabulary-independent speech recognition
In: http://acl.ldc.upenn.edu/H/H91/H91-1050.pdf (1991)
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7
Session 19: Multi-Lingual IR Cross-Lingual Query Suggestion Using Query Logs of Different Languages
In: http://www.iro.umontreal.ca/%7Enie/Publication/gao-sigir-07.pdf
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