Extreme Vocal Effects in music are so recent that few studies have been carried out about how they are physiologically produced and whether they are harmful or not for the human voice. Voice Transformations in real-time are possible nowadays thanks to new technologies and voice processing algorithms. This Master's Thesis pretends to define and classify these new singing techniques and to create a mapping between the physiological aspect of each EVE to its relative spectrum variations. Voice Transformation Models based on these mappings are proposed and discussed for each one of these EVEs. We also discuss different transformation methods and strategies in order to obtain better results. A subjective evaluation of the results of the trans...
International audienceThis paper deals with voice transformation techniques in the case of natural-t...
This paper investigates correlates of acoustic features to emotional singing voices. By analyzing ac...
2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 634 - 638...
Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how ...
Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how ...
The sustained increase in computing performance over the last decades has brought enough computing ...
Speech processing is a broad field of study with a variety of applications such as speech recognitio...
Singing voice is one of the most challenging musical instruments to model and imitate. Along several...
This work presents and puts into context the research contained in all publications in which the aut...
International audienceVocal effort modification of natural speech is an asset to various application...
The aim of the present work is to perform a step towards more natural pitch shifting techniques in s...
The aim of the present work is to perform a step towards more natural pitch shifting techniques in s...
Thesis is dedicated to the making of a system for voice conversion. To methods, which alter voice of...
International audienceRock and metal singing utilize distorted sounds for aesthetic and expressive p...
The present article investigates into the use of the LF glottal pulse model for singing synthesis an...
International audienceThis paper deals with voice transformation techniques in the case of natural-t...
This paper investigates correlates of acoustic features to emotional singing voices. By analyzing ac...
2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 634 - 638...
Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how ...
Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how ...
The sustained increase in computing performance over the last decades has brought enough computing ...
Speech processing is a broad field of study with a variety of applications such as speech recognitio...
Singing voice is one of the most challenging musical instruments to model and imitate. Along several...
This work presents and puts into context the research contained in all publications in which the aut...
International audienceVocal effort modification of natural speech is an asset to various application...
The aim of the present work is to perform a step towards more natural pitch shifting techniques in s...
The aim of the present work is to perform a step towards more natural pitch shifting techniques in s...
Thesis is dedicated to the making of a system for voice conversion. To methods, which alter voice of...
International audienceRock and metal singing utilize distorted sounds for aesthetic and expressive p...
The present article investigates into the use of the LF glottal pulse model for singing synthesis an...
International audienceThis paper deals with voice transformation techniques in the case of natural-t...
This paper investigates correlates of acoustic features to emotional singing voices. By analyzing ac...
2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 634 - 638...