Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis

Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis

Singing Voice Synthesis has been researched on and developed extensively for 50 years and beyond. Till date, many research studies have been to produce operatic singing voices, using practical approaches such as Vocal Tract Length Normalisation (VTLN) and other methods of synthesis. Singing Voice Sy...

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Main Author: Ng, Wan Ling.
Other Authors: Ong Keng Sian, Vincent
Format: Final Year Project
Language:English
Published: 2012
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:http://hdl.handle.net/10356/50132
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-50132
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spelling sg-ntu-dr.10356-501322023-07-07T16:43:48Z Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis Ng, Wan Ling. Ong Keng Sian, Vincent School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Singing Voice Synthesis has been researched on and developed extensively for 50 years and beyond. Till date, many research studies have been to produce operatic singing voices, using practical approaches such as Vocal Tract Length Normalisation (VTLN) and other methods of synthesis. Singing Voice Synthesis involves the controlling of the three acoustic features unique to singing voices, namely the fundamental frequency (F0), phoneme duration, and spectrum. Through extracting these features into which of a set of classes, it helps to develop the diversity and functionality of the application. Bachelor of Engineering 2012-05-30T03:45:27Z 2012-05-30T03:45:27Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50132 en Nanyang Technological University 91 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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Ng, Wan Ling.
Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
description Singing Voice Synthesis has been researched on and developed extensively for 50 years and beyond. Till date, many research studies have been to produce operatic singing voices, using practical approaches such as Vocal Tract Length Normalisation (VTLN) and other methods of synthesis. Singing Voice Synthesis involves the controlling of the three acoustic features unique to singing voices, namely the fundamental frequency (F0), phoneme duration, and spectrum. Through extracting these features into which of a set of classes, it helps to develop the diversity and functionality of the application.
author2 Ong Keng Sian, Vincent
author_facet Ong Keng Sian, Vincent
Ng, Wan Ling.
format Final Year Project
author Ng, Wan Ling.
author_sort Ng, Wan Ling.
title Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
title_short Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
title_full Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
title_fullStr Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
title_full_unstemmed Singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
title_sort singing voice synthesis - a research on the effects of dynamic time warping, a speech recognition method on speech-to-singing synthesis
publishDate 2012
url http://hdl.handle.net/10356/50132
_version_ 1772826285326729216

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