On April 13, 2018, Prof.Hemant A. Patil from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) comes to Shanghai Jiao Tong University to give a distinguished lecture about ''Distinguished Lecture: Spoofing Attacks for Automatic Speaker Verification (ASV)''.

Hemant A. Patil received Ph.D. degree from the Indian Institute of Technology (IIT), Kharagpur, India, in July 2006. Since 2007, he has been a faculty member at DA-IICT Gandhinagar, India since 2007 and developed Speech Research Lab at DA-IICT recognized as ISCA speech labs. Dr. Patil is member of IEEE, IEEE Signal Processing Society, IEEE Circuits and Systems Society, International Speech Communication Association (ISCA), EURASIP and an affiliate member of IEEE SLTC. He is regular reviewer for ICASSP and INTERSPEECH, Speech Communication, Elsevier, Computer Speech and Language, Elsevier and Int. J. Speech Tech, Springer, Circuits, Systems and Signal Processing, Springer. He has published around 190 research publications in national and international conferences/journals/book chapters. He visited department of ECE, University of Minnesota, Minneapolis, USA (May-July, 2009) as short term scholar. He has been associated (as PI) with three MeitY sponsored projects in ASR, TTS and QbE-STD. He was co-PI for DST sponsored project on India-Digital Heritage (IDH)-Hampi. His research interests include speech and speaker recognition, TTS, infant cry analysis. He has received DST Fast Track Award for Young Scientists for infant cry analysis. He has coedited a book on Forensic Speaker Recognition with Dr. Amy Neustein (EIC, IJST Springer). Presently, he is coediting two books in speech technology for medical-domain. Dr. Patil has taken a lead role in organizing several ISCA supported events, such as summer/winter schools/CEP workshops (such as speaker and language recognition, speech source modeling, text-to-speech synthesis, speech production-perception link, advances in speech processing) and progress review meetings for two MeitY consortia project all at DA-IICT Gandhingagar. Dr. Patil has supervised 03 doctoral (including doctoral thesis supervision in spoofing attacks) and 37 M.Tech. theses. Presently, he is supervising 04 doctoral students and 05 masters students. Recently, he offered a joint tutorial with Prof. Haizhou Li during Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2017. He has been selected as APSIPA Distinguished Lecturer (DL) for 2018-2019.

Speech is most natural way of communication between humans and it carries various levels of information, such as linguistic content, emotion, acoustic environment, language, speaker's identity and health conditions, etc. Speaker recognition verifies or identifies a speaker via his/her voice. Automatic Speaker Verification (ASV) involves verifying the claimed speaker's identity. In practice, we would like a speaker verification system to be robust against variations, such as microphone and transmission channel, intersession, acoustic noise, speaker ageing, etc. This robustness makes ASV system to be vulnerable to various spoofing attacks as it tries to nullify these effects and make spoofed speech more close to the natural speech. Hence, we would like the system to be secure against spoofing attacks. In this talk, Prof.Hemant A. Patil investigates the issues concerning the robustness and security of a speaker verification system. He also discuss the latest progress and the research activities in anti-spoofing countermeasures against voice conversion (VC), speech synthesis (SS), replay, twins and professional mimics. In particular, brief details of risk and technological challenges associated with each of these attacks are discussed. Prof.Hemant A. Patil also give brief overview of two international challenge campaigns, namely, ASV Spoof 2015 and ASV Spoof 2017 organized during INTERSPEECH 2015 and INTERSPEECH 2017, respectively. Finally, the talk concludes with overall summary of current state-of-the-art in this field and discuss future research directions.

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