Professional Activities

Talks

1. Invited Speaker at Experimental Methods in Language Acquisition Research (EMLAR) 2024, Utrecht, NL, 16-18 April 2024.

2. Organizing (with colleagues) Special Session: 'Connecting Speech Science and Speech Technology for Children’s Speech'

   1. Interspeech’23, Dublin

   2. Interspeech’24, Greece

3.  Talk at Symposium 'Forensic Engineering and Technology', 30 Sept., 2022, TU Delft.

4. Invited Speaker at the virtual European Training for Early Stage Researchers (ESR) TAPAS project training event, 'Industry Targeted Event with Networking', 30 June 2021.

5. Talk at Nvidia GPU Technology Conference (GTC), October 5-9, 2020 featured in the category of Solution to Indic Challenges in Conversational AI.

6. Invited speaker at “Machine Learning for Intelligent Speech and Image Processing (MLSIP)-2018” , 28-29 Sept. 2018 at SRM Institute,  Tamil Nadu.

7. Invited speaker at “Summer School on Speech Signal Processing (S4P): Speaker and Language Recognition” on ‘Countermeasures for Spoofed Speech Detection System’, 8-12 July 2017 at DA-IICT, Gandhinagar.

8. Invited speaker at “Doctoral Consortium Talk” in Summer School on ASAP, 19-20 July, 2016 at DA-IICT Gandhinagar.

9. Conducted lab sessions on 'Basics of Speech Signal Processing' at CDAC-Mumbai, 25-28 June 2015 supported with lecture sessions by Dr. Hemant Patil. 

Supervision | Mentoring 

1. Supervised students at TU Delft-2023

   1. Zirui Li: MSc student – Mitigating regional accent bias in automatic speech recognition systems

   2. Chaufang Lin: MSc student – Improving whispered speech recognition using pseudo-whispered based data augmentation

   3. Jingxian Lin: MSc student - Ongoing

   4. Senne van den Broeck: BSc Honours student – Automatic recognition of children’s speech

2. Supervised students at TU Delft-2022

   1. Yuanyuan Zhang: MSc student – Mitigating bias against non-native accents in automatic speech recognition

   2. Yixuan Zhang: MSc student – Mitigating bias against non-native accents in automatic speech recognition

   3. Hang Ji: MSc student – Predicting within and across language phone recognition performance of self-supervised learning speech pre-trained models

   4. Supervised 5 BSc students as a part of their Research Project 2022 on developing specific regional ASRs in Dutch language and improving them with augmentation techniques.

      1. Alves Marinov

      2. Amar Mešić

      3. Dragos , Alexandru Bălan

      4. Neal Sweijen

      5. Nikolay Zhlebinkov

Review

1. IEEE  Transactions on Information Forensics & Security

2. Computer Speech and Language (CSL) Journal 

3. Speech Communication Journal

4. INTERSPEECH

5. ICASSP

6. Text Speech and Dailogue (TSD)

7. SPCOM

8. ICON