Saeed Sarfjoo
Senior Speech Recognition Engineer at Dialpad
Kitchener, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSaeed Sarfjoo is a Senior Speech Recognition Engineer with a PhD in Computer Science and over eight years of hands-on experience building speech technologies from Persian text-to-speech and IVR systems to modern HMM- and DNN-based synthesis and recognition. His career spans industry and research roles across Iran, Turkey, Japan, Switzerland, and Canada, including postdoctoral work at Idiap and a visiting stint at the National Institute of Informatics, reflecting deep cross-lingual and intra-lingual adaptation expertise. At Dialpad he applies that research-driven background to production speech recognition, bridging cutting-edge acoustic modeling with real-world deployment constraints. Notably, his early work commercializing Persian speech systems gives him rare practical insight into low-resource language challenges alongside advanced neural techniques.
8 years of coding experience
9 years of employment as a software developer
Master’s Degree, E-Commerce/Electronic Commerce, Master’s Degree, E-Commerce/Electronic Commerce at Qom UniversityBachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at University of IsfahanDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Özyeğin Üniversitesi
English, Persian
Github Skills (17)
speech9
speech-to-text8
location8
cuda6
shell6
speech-recognition6
kaldi6
deep-learning5
speech-enhancement5
speaker-verification5
pytorch5
speaker4
asr4
evaluation3
diarization2
Programming languages (2)
Github contributions (5)
ssarfjoo/improvedsegan
Oct 2017 - Jan 2020
This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training more robust and stable.
Contributions:4 commits, 1 PR, 9 pushes in 2 years 3 months
pytorchenhancementdeep-learningmodificationsmodel-training
ssarfjoo/texterrors
Jun 2021 - Jul 2021
Contributions:2 pushes in 2 days
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