On the Lempel-Ziv-Welch Coded Speech Transmission and Markov Chain Detection
On the Lempel-Ziv-Welch Coded Speech Transmission and Markov Chain Detection
In this paper, we present a novel technique for speech transmission over noisy channels using Lempel-Ziv-Welch (LZW) source coding and Markov Chain memory detection. The basic idea is to make use of the highly dynamic nature and high compression ratio of LZW algorithm that is possible for speech signals due to its correlation. However, the erroneous reception after noise is added to this coded signal poses challenge of dynamic dictionary forming. In this paper, assuming that speech maintains high order memory, this has been non-trivially handled by high order Markov chain (MC) modeling, detection and correction technique. This technique ensures that the decoded speech maintains the approximate correlation normally present in speech. In order to justify the quality of speech we have made use of spectrogram analysis. Few simulations for the whole process have been performed to illustrate the performance. This speech compression technique can be used real-time and imposes no outstanding delay at the reception side except the transmission delay plus the minimal decoding and detection time.
183-187
Shafik, Rishad Ahmed
aa0bdafc-b022-4cb2-a8ef-4bf8a03ba524
Rahman, Mohammad Shahriar
39fdd9f8-83f6-487b-b7fa-ed351fad2d1b
Adnan, Nasib Ahmed
6824bced-e2e3-45c1-b950-2924fcd61dce
Islam, Mohammad Sajedul
b274daf3-68ce-40e8-a956-3e76df8e3d72
2006
Shafik, Rishad Ahmed
aa0bdafc-b022-4cb2-a8ef-4bf8a03ba524
Rahman, Mohammad Shahriar
39fdd9f8-83f6-487b-b7fa-ed351fad2d1b
Adnan, Nasib Ahmed
6824bced-e2e3-45c1-b950-2924fcd61dce
Islam, Mohammad Sajedul
b274daf3-68ce-40e8-a956-3e76df8e3d72
Shafik, Rishad Ahmed, Rahman, Mohammad Shahriar, Adnan, Nasib Ahmed and Islam, Mohammad Sajedul
(2006)
On the Lempel-Ziv-Welch Coded Speech Transmission and Markov Chain Detection.
2nd IEEE International Conference on Emerging Technologies (IEEE-ICET2006), Peshawar, Pakistan.
13 - 14 Nov 2006.
.
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Conference or Workshop Item
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Abstract
In this paper, we present a novel technique for speech transmission over noisy channels using Lempel-Ziv-Welch (LZW) source coding and Markov Chain memory detection. The basic idea is to make use of the highly dynamic nature and high compression ratio of LZW algorithm that is possible for speech signals due to its correlation. However, the erroneous reception after noise is added to this coded signal poses challenge of dynamic dictionary forming. In this paper, assuming that speech maintains high order memory, this has been non-trivially handled by high order Markov chain (MC) modeling, detection and correction technique. This technique ensures that the decoded speech maintains the approximate correlation normally present in speech. In order to justify the quality of speech we have made use of spectrogram analysis. Few simulations for the whole process have been performed to illustrate the performance. This speech compression technique can be used real-time and imposes no outstanding delay at the reception side except the transmission delay plus the minimal decoding and detection time.
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Published date: 2006
Additional Information:
Event Dates: 13-14 November, 2006
Venue - Dates:
2nd IEEE International Conference on Emerging Technologies (IEEE-ICET2006), Peshawar, Pakistan, 2006-11-13 - 2006-11-14
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 263128
URI: http://eprints.soton.ac.uk/id/eprint/263128
PURE UUID: b3f12e27-6794-4c99-8d84-596db6888df9
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Date deposited: 18 Oct 2006
Last modified: 14 Mar 2024 07:25
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Contributors
Author:
Rishad Ahmed Shafik
Author:
Mohammad Shahriar Rahman
Author:
Nasib Ahmed Adnan
Author:
Mohammad Sajedul Islam
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