Resume - The University of Texas at Dallas
Transcription
Resume - The University of Texas at Dallas
ALI ZIAEI OBJECTIVE Seeking full-time position in speech signal processing with emphasis on speech/speaker recognition starts summer 2015. E D U C AT I O N Ph.D. (Electrical Engineering), University of Texas at Dallas (UTD), Texas, U.S.A. Topic: Speech and Speaker Recognition for Massive Naturalistic Daily Audio Streams Years: 2010 to present M.Sc. (Electrical Engineering), Tehran Polytechnic, Tehran, Iran. Topic: Statistical Spoken Language Identification Years: 2006 to 2009 B.Sc. (Electrical Engineering), Tehran Polytechnic, Tehran, Iran. Topic: Hardware Implementation of an Isolated Word Speech Recognition System using DTW Years: 2002 to 2006 RESEARCH INTERESTS Automatic Speech Recognition Keyword Spotting Deep Learning Speaker Identification/Verification EXPERIENCE RESEARC H INTERN, APPLE INC ., SUMMER 2014 • Worked with Signal Processing Research Group RESEARCH INTERN, BEATS BY DR. DRE LLC., SUMMER 2014 • Worked with Signal Processing Research Group • Designed and Developed Kaldi based Speech Recognition System and DNN based Keyword Spotter for Play-Back Music Devices RESEARC H INTERN, NUANCE COMMUNICATION, SUMMER 2013 • Worked with Acoustic Modeling Group R E S E A R C H A S S I S T A N T , C R S S - U T D, 2 0 1 0 – P R E S E N T • Prof-Life-Log (Researching Speech Systems for Massive Naturalistic Audio Streams) • • • • • • Speech Recognition and Keyword Spotting for Topics and Sentiment Analysis on Massive Audio Recordings Speech Activity Detection to Separate Speech from Diverse non-Stationary Backgrounds Developed GMM-UBM and I-Vector based Speaker Verification System for Prof-Life-Log Environmental Sniffing, Classification and Clustering of Unknown Environments Speaker Diarization and Tracking, Automatic Estimation of Speaker Count NIST SRE (Speaker Recognition Evaluation) 2012 • • Researched Speaker Diarization to Remove Negative Impact of Secondary Speakers CRSS-UTD System was among the Top Performing Systems in the World Page 1 Email: [email protected] Phone: (214) 597-6115 Website: http://www.utdallas.edu/~ali.ziaei/ ALI ZIAEI SKILLS Programming Languages: [Python, Matlab]{Research based projects}, [Perl, C++]{Course based projects} Speech Recognition: Kaldi, Sphinx, HTK Deep Neural Network: Theano Operating Systems: Linux, Windows R E L E V A N T C OU R S ES Digital Signal Processing Speech Recognition Neural Networks Image Processing Advanced Real Analysis Machine Learning Application of Random Processes Estimation & Filtering Theory Mathematical Analysis on Large Data sets Analysis of Time Series S E L E C T E D P U B L I C AT I O N S • A. Ziaei, A. Sangwan, L. Kaushik, J. H.L. Hansen, “Prof-Life-Log: Analysis and Classification of Activities in Daily Audio Streams,” submitted to ICASSP 2015 • N. Shokuhi, A. Ziaei, A. Sangwan, J. H.L. Hansen, “Robust Overlapped Speech Detection and its Application in WordCount Estimation for Prof-Life-Log Data”, submitted to ICASSP 2015 • A. Sangwan, C. Yu, L. Kaushik, A. Ziaei, J. H.L. Hansen, “Speech Processing Technology for Human Behavior and Performance Monitoring: Recent Algorithmic Advancements, Solutions and Challenges, ” 2015 Human Research Program Investigators' Workshop: Integrated Pathways to Mars, Galveston Island Convention, TX, USA, Jan. 2015 • A. Ziaei, L. Kaushik, A. Sangwan, J. H.L. Hansen, D.W. Oard, “Speech Activity Detection for NASA Apollo Space Missions: Challenges and Solutions,” Proc. Interspeech, MAX Atria, Singapore, 2014 • A. Ziaei, A. Sangwan, J. H.L. Hansen, “A Speech System for Estimating Daily Word Counts,” Proc. Interspeech, MAX Atria, Singapore, 2014 • A. Ziaei, A. Sangwan, J. H.L. Hansen, “Prof-Life-Log: Personal Interaction Analysis on Naturalistic Audio Streams,” Proc. ICASSP, Florence, Italy, 2013 • A. Sangwan, A. Ziaei, J. H.L. Hansen, “ProfLifeLog: Environmental A n a l y s i s a n d K e y w o r d R e c o g n i t i o n f o r Naturalistic Daily Audio Streams,” Proc. ICASSP, Kyoto, Japan 2012 • H. Yeganeh, S. M. Ahadi, A. Ziaei, “Weighting of Mel Sub-bands Based on SNR/Entropy for Robust ASR,” Proc. 8th ISSPIT 2008, Bosnia and Herzegovina • • • Graduated 1 rank among M.Sc. students (Tehran polytechnic) Awarded to continue graduate studies for M.Sc. degree, without entrance exam (Tehran Polytechnic) nd Graduated 2 rank among B.Sc. students (Tehran Polytechnic) HONORS st REFERENCES Dr. John H. L. Hansen, Associate Dean for Research, Professor Electrical Engineering Department, University of Texas at Dallas, TX, USA. Email: [email protected] Dr. Abhijeet Sangwan, Associate Research Professor Electrical Engineering Department, University of Texas at Dallas, TX, USA. Email: [email protected] Page2 Email: [email protected] Phone: (214) 597-6115 Website: http://www.utdallas.edu/~ali.ziaei/