Ozyegin University, Istanbul, Turkey
Thesis Title : Using Eigenvoices and Nearest-Neighbors in HMM-Based Cross-Lingual Speaker Adaptation with Limited Data
Seyyed Saeed Sarfjoo received the B.Sc. degree in information technology from Isfahan University, Isfahan, Iran, in 2009 and the M.Sc. degree in information technology from Qom University, Qom, Iran, in 2012. In 2009, he joined Asr Gooyesh Pardaz Co, Tehran, Iran, as a Software Developer/Researcher. His career in this company mostly focused on Persian text-to-speech, Persian speech recognition, and Persian interactive voice response systems. In 2013, he started the Ph.D. in computer science at Ozyegin University, Istanbul, Turkey, and received the Ph.D. degree in August 2017. In that period, he was also a graduate research assistant at the Speech Processing Lab of Ozyegin University. In 2017, he joined National Institute of Informatics, Tokyo, Japan as a visiting Ph.D. student. He joined the biometric and speech groups of Idiap research institute, Martigny, Switzerland in 2018 and 2020, respectively. His research interest includes speech recognition, speaker recognition and speech synthesis.
Thesis Title : Using Eigenvoices and Nearest-Neighbors in HMM-Based Cross-Lingual Speaker Adaptation with Limited Data
Thesis Title : A New Framework for Information Retrieval to use in Persian Spoken Document Retrieval
Working on unsupervised speaker adaptation and speech enhancement for DNN-based speech synthesis under the supervision of Prof. Junichi Yamagishi
Worked on several speech processing tasks including:
References available upon request.