Eavesdropping Technology Part II

Eavesdropping technology has long been of particular interest to security organizations and governments. The improvement of this technology is important for the enhancement of surveillance especially in the face of rising global threats. Its use in commercial applications has also been increasingly...

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Main Author: Poh, Wei Quan
Other Authors: Andy Khong Wai Hoong
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67667
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-676672023-07-07T16:28:16Z Eavesdropping Technology Part II Poh, Wei Quan Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Eavesdropping technology has long been of particular interest to security organizations and governments. The improvement of this technology is important for the enhancement of surveillance especially in the face of rising global threats. Its use in commercial applications has also been increasingly explored, in conjunction with the development of automatic speech recognition applications. In this final year project, the effectiveness of beamforming algorithms is explored using automatic speech recognition programs. This report covers a review of beamforming concepts and signal processing techniques that are useful in the application of speech recognition. The effect of different parameters on beamforming is also explored by simulating an algorithm in a virtual room environment. Audio files containing up to two interference channels were created using audio editing software. Using both planar and circular microphone arrays, a setup was created to record audio in a meeting room environment. The recordings were transcribed using current speech recognition software and analysed using a program that calculates the word error rates by comparing the reference and hypothesis scripts. It is concluded that beamforming algorithms are effective in enhancing the desired signals based on the results obtained. The circular microphone array also produced better performance. Further analysis may be conducted by changing the recording environment and developing a new speech recognition system for far-field signals. Bachelor of Engineering 2016-05-19T02:48:11Z 2016-05-19T02:48:11Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67667 en Nanyang Technological University 77 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Poh, Wei Quan
Eavesdropping Technology Part II
description Eavesdropping technology has long been of particular interest to security organizations and governments. The improvement of this technology is important for the enhancement of surveillance especially in the face of rising global threats. Its use in commercial applications has also been increasingly explored, in conjunction with the development of automatic speech recognition applications. In this final year project, the effectiveness of beamforming algorithms is explored using automatic speech recognition programs. This report covers a review of beamforming concepts and signal processing techniques that are useful in the application of speech recognition. The effect of different parameters on beamforming is also explored by simulating an algorithm in a virtual room environment. Audio files containing up to two interference channels were created using audio editing software. Using both planar and circular microphone arrays, a setup was created to record audio in a meeting room environment. The recordings were transcribed using current speech recognition software and analysed using a program that calculates the word error rates by comparing the reference and hypothesis scripts. It is concluded that beamforming algorithms are effective in enhancing the desired signals based on the results obtained. The circular microphone array also produced better performance. Further analysis may be conducted by changing the recording environment and developing a new speech recognition system for far-field signals.
author2 Andy Khong Wai Hoong
author_facet Andy Khong Wai Hoong
Poh, Wei Quan
format Final Year Project
author Poh, Wei Quan
author_sort Poh, Wei Quan
title Eavesdropping Technology Part II
title_short Eavesdropping Technology Part II
title_full Eavesdropping Technology Part II
title_fullStr Eavesdropping Technology Part II
title_full_unstemmed Eavesdropping Technology Part II
title_sort eavesdropping technology part ii
publishDate 2016
url http://hdl.handle.net/10356/67667
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