A preliminary study on improving the recognition of esophageal speech using a hybrid system based on statistical voice conversion

In this paper, we propose a hybrid system based on a modified statistical GMM voice conversion algorithm for improving the recognition of esophageal speech. This hybrid system aims to compensate for the distorted information present in the esophageal acoustic features by using a voice conversion met...

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Detalles Bibliográficos
Autores principales: Lachhab, Othman, Di Martino, Joseph, Elhaj, Elhassane Ibn, Hammouch, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627987/
https://www.ncbi.nlm.nih.gov/pubmed/26543778
http://dx.doi.org/10.1186/s40064-015-1428-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627987/
https://www.ncbi.nlm.nih.gov/pubmed/26543778
http://dx.doi.org/10.1186/s40064-015-1428-2

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