Mixture of factor analyzers using priors from non-parallel speech for voice conversion

• المؤلفون الرئيسيون: Wu, Zhizheng, Kinnunen, Tomi, Chng, Eng Siong, Li, Haizhou
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102726; http://hdl.handle.net/10220/16436

A robust voice conversion function relies on a large amount of parallel training data, which is difficult to collect in practice. To tackle the sparse parallel training data problem in voice conversion, this paper describes a mixture of factor analyzers method which integrates prior knowledge from n...