Firefly algorithm for log-likelihood optimization problem on speech recognition

Hilal H. Nuha; M. Abido

doi:10.1109/ICoICT.2016.7571921

Firefly algorithm for log-likelihood optimization problem on speech recognition

Hilal H. Nuha
, M. Abido

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

5 Scopus citations

Abstract

Speech Recognition System is a system that listens human speech and compares the speech with words or phrases that have been prepared in advance in order to obtain the data. To optimize the model we employ fireflies to search λ = (A, B, π) that produce maximum log-likelihood. We evaluate the performance we compare the technique with PSO. Firefly algorithm outperforms PSO on constructing HMM for speech recognition. FA performance can be seen on the log-likelihood values which are larger than PSO. FA guesses more words correctly indicating higher accuracy as well.

Original language	English
Title of host publication	2016 4th International Conference on Information and Communication Technology, ICoICT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467398794
DOIs	https://doi.org/10.1109/ICoICT.2016.7571921
State	Published - 19 Sep 2016

Publication series

Name	2016 4th International Conference on Information and Communication Technology, ICoICT 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Firefly
HMM
Speech Recognition

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems and Management

Access to Document

10.1109/ICoICT.2016.7571921

Cite this

Nuha, H. H., & Abido, M. (2016). Firefly algorithm for log-likelihood optimization problem on speech recognition. In 2016 4th International Conference on Information and Communication Technology, ICoICT 2016 Article 7571921 (2016 4th International Conference on Information and Communication Technology, ICoICT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoICT.2016.7571921

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title = "Firefly algorithm for log-likelihood optimization problem on speech recognition",

abstract = "Speech Recognition System is a system that listens human speech and compares the speech with words or phrases that have been prepared in advance in order to obtain the data. To optimize the model we employ fireflies to search λ = (A, B, π) that produce maximum log-likelihood. We evaluate the performance we compare the technique with PSO. Firefly algorithm outperforms PSO on constructing HMM for speech recognition. FA performance can be seen on the log-likelihood values which are larger than PSO. FA guesses more words correctly indicating higher accuracy as well.",

keywords = "Firefly, HMM, Speech Recognition",

author = "Nuha, \{Hilal H.\} and M. Abido",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = sep,

day = "19",

doi = "10.1109/ICoICT.2016.7571921",

language = "English",

series = "2016 4th International Conference on Information and Communication Technology, ICoICT 2016",

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Nuha, HH & Abido, M 2016, Firefly algorithm for log-likelihood optimization problem on speech recognition. in 2016 4th International Conference on Information and Communication Technology, ICoICT 2016., 7571921, 2016 4th International Conference on Information and Communication Technology, ICoICT 2016, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICoICT.2016.7571921

Firefly algorithm for log-likelihood optimization problem on speech recognition. / Nuha, Hilal H.; Abido, M.
2016 4th International Conference on Information and Communication Technology, ICoICT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7571921 (2016 4th International Conference on Information and Communication Technology, ICoICT 2016).

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

TY - GEN

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AU - Abido, M.

PY - 2016/9/19

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N2 - Speech Recognition System is a system that listens human speech and compares the speech with words or phrases that have been prepared in advance in order to obtain the data. To optimize the model we employ fireflies to search λ = (A, B, π) that produce maximum log-likelihood. We evaluate the performance we compare the technique with PSO. Firefly algorithm outperforms PSO on constructing HMM for speech recognition. FA performance can be seen on the log-likelihood values which are larger than PSO. FA guesses more words correctly indicating higher accuracy as well.

AB - Speech Recognition System is a system that listens human speech and compares the speech with words or phrases that have been prepared in advance in order to obtain the data. To optimize the model we employ fireflies to search λ = (A, B, π) that produce maximum log-likelihood. We evaluate the performance we compare the technique with PSO. Firefly algorithm outperforms PSO on constructing HMM for speech recognition. FA performance can be seen on the log-likelihood values which are larger than PSO. FA guesses more words correctly indicating higher accuracy as well.

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Nuha HH, Abido M. Firefly algorithm for log-likelihood optimization problem on speech recognition. In 2016 4th International Conference on Information and Communication Technology, ICoICT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7571921. (2016 4th International Conference on Information and Communication Technology, ICoICT 2016). doi: 10.1109/ICoICT.2016.7571921

Firefly algorithm for log-likelihood optimization problem on speech recognition

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this