SPANDAN DEY

To seek and maintain full-time position that offers professional challenges in academics and research opportunities utilizing upgraded knowledge and skills, interpersonal skills, excellent time management and problem-solving skills.

1. State rank holder in 10th board examination Achieved state rank of 10 for securing 744 marks out of 800 in the Madhyamik Pariksha (10th Board Examination by WBBSE) in 2010. 

2. National scholarship award for the performance in the higher secondary examination Received the National Scholarship award for academic performance in the Higher Secondary Examination (conducted by WBCHSE) in 2012. 

3. Bronze Medalist in B.Tech final year Recipient of institute medal award for securing grades among the top-3 CGPAs in B.Tech final year (2016). 

4. All India GATE rank of 483 Secured all India GATE (EC) rank of 483 with 99.61 percentile. 

5. Institute silver medal recipient in M.Tech in IIT Bhubaneswar Received the Institute Silver Medal award in IIT Bhubaneswar for securing the highest CGPA in M.Tech (ECE) in 2019.

Vocational training in Prasar Bharati, All India Radio, 06.07.2015 - 18.07.2015, Kolkata.

Vocational training in BSNL, 22.12.2014 - 07.01.2015, Kolkata.

• Deep learning Specialization, -, Coursera
• Support Vector Machine with Scikit-learn, June 2020, Coursera
• Workshop on Microcontroller Based Embedded Systems, September 2014, IET Kolkata Local Network
• British Council, March 2015, British Council Kolkata

• Certainly! Here's the updated version without point number 2:
  
  1. NIST LRE (Language Recognition Evaluation) 2022: Achieved Global Rank 9 out of 65 teams in one of the world's most leading NIST LRE competition.
  
  2. EUSIPCO 2021 (Dublin, Ireland):
  - Presented manuscript on cross-corpora language recognition.
  
  3. INTERSPEECH 2023 (Dublin, Ireland):
  - Presented manuscript on Wavelet Scattering Transform for low-resourced spoken language identification in the world's one of the most celebrated conference in speech signal processing domain.
  
  4. OLR (Oriental Language Recognition) 2020 Challenge:
  - Attained Global Rank 10 for low-resourced spoken dialect classification.

• Student representative in M.Tech
• Teaching Assistant (TA) responsibilities

Conferences:

1. An optimal linear error correcting delivery scheme for coded caching with shared caches, Nujoom Sageer Karat, Spandan Dey, Anoop Thomas, and B. Sundar Rajan, 2019 IEEE International Symposium on Information Theory (ISIT), 1217-1221, Paris, France, 2019.

2. Design of a Real-Time Automatic Source Monitoring Framework Based on Sound Source Localization, Spandan Dey, Srinivas Boppu, and M. Sabarimalai Manikandan, 2019 Seventh International Conference on Digital Information Processing and Communications (ICDIPC), 35-40, Istanbul, Turkey, 2019.

3. Cross-corpora language recognition: A preliminary investigation with Indian languages, Spandan Dey, Goutam Saha, and Md Sahidullah, 2021 29th European Signal Processing Conference (EUSIPCO), 546-550, Dublin, Ireland, 2021.

4. Wavelet scattering transform for improving generalization in low-resourced spoken language identification, Spandan Dey, Premjeet Singh, and Goutam Saha, 2023 24th INTERSPEECH, Dublin, Ireland, 2023.

Journals:

 1. An Overview of Indian Spoken Language Recognition from Machine Learning Perspective, Spandan Dey, Md Sahidullah, and Goutam Saha, ACM Transactions on Asian and Low-Resource Language Information Processing, 21, 6, 1-45, 2022.

2. Cross-corpora spoken language identification with domain diversification and generalization, Spandan Dey, Md Sahidullah, and Goutam Saha, Computer Speech & Language, 81, -, 101489, 2023.

3. Addressing the semi-open set dialect recognition problem under resource-efficient considerations, Spandan Dey, and Goutam Saha, Speech Communication, 152, -, 102957, 2023.

4. Probing layer-wise self-supervised representations for cross-corpora spoken language identification, Spandan Dey, and Goutam Saha, IEEE Journal on Selected Topics in Signal Processing Special Series in Explainable AI, 2023, 

5. Improving Self-Supervised Learning Model for Audio Spoofing Detection with Layer-Conditioned Embedding Fusion, Souvik Sinha, Spandan Dey, Goutam Saha, Computer Speech & Language, 2023.

Ph.D. Thesis Project:

Topic: Improving cross-corpora generalization for low-resourced spoken language identification. 

Supervisor: Prof. Goutam Saha, Professor, IIT Kharagpur.

Duration: July 2019 - present. 

Description: We aim to improve the generalization of Indian spoken language identification systems developed with very limited amount of speech data. To increase the amount of audio data suitable for the state-of-the-art deep learning architectures, we rely on proposing realistic audio data augmentation and domain generalization using pre-trained self-supervised representations.

B.Tech Final Year Project: 

Title: Developing low-cost amplitude modulation transmitter kit.

Supervisor: Prof. A.K.Dutta, Professor, Techno India.

Duration: July 2015 - June 2016.

Description: Developed low-cost and robust hardware kit to transmit signal wave using amplitude modulation (SSB-FC) for radio communication.

M.Tech Thesis Project: 

Title: Sound source localization.

Supervisor: Dr. Srinivas Boppu, Assistant Professor, IIT Bhubaneswar. 

Duration: May 2018 - April 2019. 

Description: Developed Raspberry Pi based portable hardware kit which enables automatic keyword spotting from input speech and redirects the microphone receiver towards the target speaker. Spectrogram features were fed to 1D-CNN model for front-end keyword detection followed by the Time Difference of Arrival (TDoA) algorithm for direction of arrival estimation.

M.Tech Research Review Project-I:

Topic: Fundamental limits of caching. 

Supervisor: Dr. Anoop Thomas, Assistant Professor, IIT Bhubaneswar.

Duration: July 2018 - December 2018.

Description: Proposed algorithms on coded caching with shared caches algorithm for faster transmission speed of information during web-browsing when the demands among the users are not distinct.

M.Tech Research Review Project-II:

Topic: Application of factor graphs in Bayesian inference. 

Supervisor: Dr. Anway Mohanty, Assistant Professor, IIT Bhubaneswar.

Duration: January 2019 - April 2019.

Description: Explored factor graphs algorithm which reduces the complexities for marginal distribution computation for different Bayesian inference applications, such as hidden Markov model (HMM), expectation maximization (EM) algorithm in Gaussian mixture model (GMM).

B.Tech Final Year Project:

Title: Developing low-cost amplitude modulation transmitter kit.

Supervisor: Prof. A.K.Dutta, Professor, Techno India.

Duration: July 2015 - June 2016.

Description: Developed low-cost and robust hardware kit to transmit signal wave using amplitude modulation (SSB-FC) for radio communication.

Playing musical instruments (Tabla, Guitar, and Ukelele) Bird photography Video recording and editing Hosting and anchoring in social events Reading and answering in Quora.