Voice Conversion Approach through Feature Statistical Mapping

Over the past few decades the field of speech processing has undergone tremendous changes and grown to be important both theoretically and technologically. Great advances have already been made in a broad range of applications such as speech analysis and synthesis techniques, voice recognition, text...

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Main Author:	Nasr, Abdulbaset M.
Format:	Thesis
Language:	English English
Published:	2001
Subjects:
Online Access:	http://psasir.upm.edu.my/id/eprint/11181/1/FK_2001_63.pdf
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id	my-upm-ir.11181
record_format	uketd_dc
spelling	my-upm-ir.111812024-05-31T08:48:31Z Voice Conversion Approach through Feature Statistical Mapping 2001-01 Nasr, Abdulbaset M. Over the past few decades the field of speech processing has undergone tremendous changes and grown to be important both theoretically and technologically. Great advances have already been made in a broad range of applications such as speech analysis and synthesis techniques, voice recognition, text to speech conversion and speech coding techniques to name a few. On the process of development of these applications, voice conversion (VC) technique has recently emerged as a new branch of speech synthesis dealing with the speaker identity. The basic idea behind VC is to modify one person's speech so that it is recognized as being uttered by another person. There are numerous applications of voice conversion technique. Examples include the personalization of text to speech (TTS) systems to reduce the need for a large speech database. It could also be used in the entertainment industry. VC technology could be used to dub movies more effectively by allowing the dubbing actor to speak with the voice of the original actor but in a different language. Voice conversion can also be used in the language translation applications to create the identity of a foreign speaker. This project proposes a simple parametric approach to VC through the use of the well-known speech analysis technique namely Linear Prediction (LP). LP is used as analysis tool to extract the most important acoustic parameters of a person's speech signal. These parameters are the pitch period, LP coefficients, the voicing decision and the speech signal energy. Then, the features of the source speaker are mapped to match those of the target speaker through the use of statistical mapping technique. To illustrate the feasibility of the proposed approach. a simple to use voice conversion software was developed. The program code was written in C++ and implemented using Microsoft Foundation C lass (MFC). The proposed scheme to the problem has shown satisfactory results, where the synthesized speech signal has come as c lose as possible to match that of a target speaker. 2001-01 Thesis http://psasir.upm.edu.my/id/eprint/11181/ http://psasir.upm.edu.my/id/eprint/11181/1/FK_2001_63.pdf text en public masters Universiti Putra Malaysia Faculty of Engineering Hassan, Md. Mahmud English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	Hassan, Md. Mahmud
topic
spellingShingle	Nasr, Abdulbaset M. Voice Conversion Approach through Feature Statistical Mapping
description	Over the past few decades the field of speech processing has undergone tremendous changes and grown to be important both theoretically and technologically. Great advances have already been made in a broad range of applications such as speech analysis and synthesis techniques, voice recognition, text to speech conversion and speech coding techniques to name a few. On the process of development of these applications, voice conversion (VC) technique has recently emerged as a new branch of speech synthesis dealing with the speaker identity. The basic idea behind VC is to modify one person's speech so that it is recognized as being uttered by another person. There are numerous applications of voice conversion technique. Examples include the personalization of text to speech (TTS) systems to reduce the need for a large speech database. It could also be used in the entertainment industry. VC technology could be used to dub movies more effectively by allowing the dubbing actor to speak with the voice of the original actor but in a different language. Voice conversion can also be used in the language translation applications to create the identity of a foreign speaker. This project proposes a simple parametric approach to VC through the use of the well-known speech analysis technique namely Linear Prediction (LP). LP is used as analysis tool to extract the most important acoustic parameters of a person's speech signal. These parameters are the pitch period, LP coefficients, the voicing decision and the speech signal energy. Then, the features of the source speaker are mapped to match those of the target speaker through the use of statistical mapping technique. To illustrate the feasibility of the proposed approach. a simple to use voice conversion software was developed. The program code was written in C++ and implemented using Microsoft Foundation C lass (MFC). The proposed scheme to the problem has shown satisfactory results, where the synthesized speech signal has come as c lose as possible to match that of a target speaker.
format	Thesis
qualification_level	Master's degree
author	Nasr, Abdulbaset M.
author_facet	Nasr, Abdulbaset M.
author_sort	Nasr, Abdulbaset M.
title	Voice Conversion Approach through Feature Statistical Mapping
title_short	Voice Conversion Approach through Feature Statistical Mapping
title_full	Voice Conversion Approach through Feature Statistical Mapping
title_fullStr	Voice Conversion Approach through Feature Statistical Mapping
title_full_unstemmed	Voice Conversion Approach through Feature Statistical Mapping
title_sort	voice conversion approach through feature statistical mapping
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2001
url	http://psasir.upm.edu.my/id/eprint/11181/1/FK_2001_63.pdf
_version_	1804888621361135616

Voice Conversion Approach through Feature Statistical Mapping

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