Paper Info
Title
An evaluation of alaryngeal speech enhancement methods based on voice conversion techniques
Abstract
In this study, we evaluate our proposed methods for enhancing alaryngeal speech based on statistical voice conversion techniques. Voice conversion based on a Gaussian mixture model has been applied to the conversion of alaryngeal speech into normal speech (AL-to-Speech). Moreover, one-to-many eigenvoice conversion (EVC) has also been applied to AL-to-Speech to enable the recovery of the original voice quality of laryngectomees even if only one arbitrary utterance of the original voice is available. VC/EVC-based AL-to-Speech systems have been developed for several types of alaryngeal speech, such as esophageal speech (ES), electrolaryngeal speech (EL), and body-conducted silent electrolaryngeal speech (silent EL). These proposed systems are compared with each other from various perspectives. The experimental results demonstrate that our proposed systems yield significant enhancement effects on each type of alaryngeal speech.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5947513
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
Gaussian processes,speech enhancement,statistical analysis,Gaussian mixture model,VC-EVC-based AL-to-Speech systems,alaryngeal speech enhancement methods,eigenvoice one-to-many conversion,esophageal speech,silent electrolaryngeal speech,statistical voice conversion techniques,voice conversion techniques,alaryngeal speech,eigenvoice conversion,performance evaluations,speech enhancement,voice conversion
Speech enhancement,Normal speech,Alaryngeal speech,Esophageal speech,Computer science,Electrolaryngeal Speech,Utterance,Speech recognition,Mixture model,Statistical analysis
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
5
PageRank 
References 
Authors
0.44
6
4
Name
Order
Citations
PageRank
Hironori Doi1453.34
Nakamura, K.2153.94
Tomoki Toda31874167.18
Saruwatari, H.465290.81