TY  - GEN
N2  - The sound of a person's voice is an important factor in human communication. VoiceConversion (VC) is a technology that modifies a source speaker's speech utterance to sound as if it has been spoken by a target speaker. VC o?ers a number of useful applications. For example, personalizing a text-to-speech system to speak with a new voice with minimal amount of data, or mimicking the voice of another individual when dubbing a movie in another language. In this dissertation, we consider new approaches in the design of VC systems. We propose techniques for learning speech representations with some characteristics that facilitate building systems for VC.
DO  - 10.6083/z316q221w
DO  - DOI
AB  - The sound of a person's voice is an important factor in human communication. VoiceConversion (VC) is a technology that modifies a source speaker's speech utterance to sound as if it has been spoken by a target speaker. VC o?ers a number of useful applications. For example, personalizing a text-to-speech system to speak with a new voice with minimal amount of data, or mimicking the voice of another individual when dubbing a movie in another language. In this dissertation, we consider new approaches in the design of VC systems. We propose techniques for learning speech representations with some characteristics that facilitate building systems for VC.
T1  - Speech representation learning for voice conversion
DA  - 2019
AU  - Mohammadi, Seyed H.
L1  - https://digitalcollections.ohsu.edu/record/7478/files/mohammadi.hamidreza.2019.pdf
PB  - Oregon Health and Science University
PY  - 2019
ID  - 7478
L4  - https://digitalcollections.ohsu.edu/record/7478/files/mohammadi.hamidreza.2019.pdf
KW  - Machine Learning
KW  - Deep Learning
KW  - representation learning
KW  - autoencoder
KW  - voice conversion
KW  - voice transformation
TI  - Speech representation learning for voice conversion
Y1  - 2019
L2  - https://digitalcollections.ohsu.edu/record/7478/files/mohammadi.hamidreza.2019.pdf
LK  - https://digitalcollections.ohsu.edu/record/7478/files/mohammadi.hamidreza.2019.pdf
UR  - https://digitalcollections.ohsu.edu/record/7478/files/mohammadi.hamidreza.2019.pdf
ER  -