Study of deep learning and CMU sphinx in automatic speech recognition

Abhishek Dhankar

doi:10.1109/ICACCI.2017.8126189

Study of deep learning and CMU sphinx in automatic speech recognition

Abhishek Dhankar^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

Machine learning has proven to be a very effective tool in automatic speech recognition. This paper is an attempt to give a broad overview of the applications of various approaches of machine learning in speech recognition with special reference to deep learning and CMU Sphinx. Deep learning in Speech recognition is a relatively recent development. On the other hand, CMU Sphinx, an open source software has been in use for this purpose for a relatively longer time. CNN, a Deep Learning algorithm learns the invariant features that help it to differentiate between different words and word sequences. CMU Sphinx uses GMM-HMM model to predict the phonemes in the utterance to determine the word or set of continuous words that were spoken.

Original language	English
Title of host publication	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2296-2301
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781509063673
DOIs	https://doi.org/10.1109/ICACCI.2017.8126189
Publication status	Published - 30-11-2017
Externally published	Yes
Event	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: 13-09-2017 → 16-09-2017

Publication series

Name	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Volume	2017-January

Conference

Conference	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Country/Territory	India
City	Manipal, Mangalore
Period	13-09-17 → 16-09-17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems

Access to Document

10.1109/ICACCI.2017.8126189

Cite this

Dhankar, A. (2017). Study of deep learning and CMU sphinx in automatic speech recognition. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 2296-2301). (2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8126189

Dhankar, Abhishek. / Study of deep learning and CMU sphinx in automatic speech recognition. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2296-2301 (2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017).

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title = "Study of deep learning and CMU sphinx in automatic speech recognition",

abstract = "Machine learning has proven to be a very effective tool in automatic speech recognition. This paper is an attempt to give a broad overview of the applications of various approaches of machine learning in speech recognition with special reference to deep learning and CMU Sphinx. Deep learning in Speech recognition is a relatively recent development. On the other hand, CMU Sphinx, an open source software has been in use for this purpose for a relatively longer time. CNN, a Deep Learning algorithm learns the invariant features that help it to differentiate between different words and word sequences. CMU Sphinx uses GMM-HMM model to predict the phonemes in the utterance to determine the word or set of continuous words that were spoken.",

author = "Abhishek Dhankar",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 ; Conference date: 13-09-2017 Through 16-09-2017",

year = "2017",

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doi = "10.1109/ICACCI.2017.8126189",

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series = "2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017",

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Dhankar, A 2017, Study of deep learning and CMU sphinx in automatic speech recognition. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2296-2301, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8126189

Study of deep learning and CMU sphinx in automatic speech recognition. / Dhankar, Abhishek.
2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 2296-2301 (2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Machine learning has proven to be a very effective tool in automatic speech recognition. This paper is an attempt to give a broad overview of the applications of various approaches of machine learning in speech recognition with special reference to deep learning and CMU Sphinx. Deep learning in Speech recognition is a relatively recent development. On the other hand, CMU Sphinx, an open source software has been in use for this purpose for a relatively longer time. CNN, a Deep Learning algorithm learns the invariant features that help it to differentiate between different words and word sequences. CMU Sphinx uses GMM-HMM model to predict the phonemes in the utterance to determine the word or set of continuous words that were spoken.

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Dhankar A. Study of deep learning and CMU sphinx in automatic speech recognition. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2296-2301. (2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017). doi: 10.1109/ICACCI.2017.8126189

Study of deep learning and CMU sphinx in automatic speech recognition

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