@article{ETD,
      school = {Ph.D.},
      author = {Mohammadi, Seyed H.},
      url = {http://digitalcollections.ohsu.edu/record/7478},
      title = {Speech representation learning for voice conversion},
      publisher = {Oregon Health and Science University},
      abstract = {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.},
      number = {ETD},
      doi = {https://doi.org/10.6083/z316q221w},
      recid = {7478},
      address = {2019},
}