Journal Publications

1. Pandey S.K., Shekhawat H.S., Prasanna S.R.M., "Attention gated tensor neural network architectures for speech emotion recognition", Biomedical Signal Processing and Control , vol.71 , (DOI - 10.1016/j.bspc.2021.103173) [2022].

2. Shekhawat H.S., Meinsma G., "A sampled-data approach to optimal relaxed-causal sampling", Mathematics of Control, Signals, and Systems , vol.33, issue 4 , (DOI - 10.1007/s00498-021-00297-9) ,pp.669-705, [2021].

3. Gupta D., Shekhawat H.S., "Artificial bandwidth extension using H??? sampled-data control theory", Speech Communication , vol.134 , (DOI - 10.1016/j.specom.2021.08.004) ,pp.32-41, [2021].

4. Gupta D., Shekhawat H.S., "High-band feature extraction for artificial bandwidth extension using deep neural network and H??? optimisation", IET Signal Processing , vol.14, issue 10 , (DOI - 10.1049/iet-spr.2020.0214) ,pp.783-790, [2020].

5. Shekhawat H.S., "Frequency Truncated Discrete-Time System Norm", IEEE Control Systems Letters , vol.4, issue 3 , (DOI - 10.1109/LCSYS.2020.2981893) ,pp.590-595, [2020].

6. Shekhawat H.S., Weiland S., "A locally convergent Jacobi iteration for the tensor singular value problem", Multidimensional Systems and Signal Processing , vol.29, issue 3 , (DOI - 10.1007/s11045-017-0485-9) ,pp.1075-1094, [2018].

7. Shekhawat H.S., Meinsma G., "A sampled-data approach to optimal non-causal downsampling", Mathematics of Control, Signals, and Systems , vol.27, issue 3 , (DOI - 10.1007/s00498-015-0141-6) ,pp.277-315, [2015].

8. Meinsma G., Shekhawat H.S., "Frequency-truncated system norms", Automatica , vol.47, issue 8 , (DOI - 10.1016/j.automatica.2011.05.004) ,pp.1842-1845, [2011].

Conference Publications

1. Goel S., Pandey S.K., Shekhawat H.S., "Analysis of Emotional Content in Indian Political Speeches", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.12615 LNCS , (DOI - 10.1007/978-3-030-68449-5_18) ,pp.177-185, [2021].

2. Pandey S.K., Shekhawat H.S., Prasanna S.R.M., "Emotion Recognition from Raw Speech using Wavenet", IEEE Region 10 Annual International Conference, Proceedings/TENCON , vol.2019-October , (DOI - 10.1109/TENCON.2019.8929257) ,pp.1292-1297, [2019].

3. Sehgal B., Shekhawat H.S., Jana S.K., "Automatic Radar Target Identification Using Radar Cross Section Fluctuations and Recurrent Neural Networks", IEEE Region 10 Annual International Conference, Proceedings/TENCON , vol.2019-October , (DOI - 10.1109/TENCON.2019.8929635) ,pp.2490-2495, [2019].

4. Gupta D., Shekhawat H.S., "Artificial bandwidth extension using H??? optimization and speech production model", 2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019 , (DOI - 10.1109/RADIOELEK.2019.8733452) [2019].

5. Pandey S.K., Shekhawat H.S., Prasanna S.R.M., "Deep learning techniques for speech emotion recognition: A review", 2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019 , (DOI - 10.1109/RADIOELEK.2019.8733432) [2019].

6. Pandey S., Jelil S., Prasanna S.R.M., Shekhawat H.S., "Speaker Identification Using Tensor Decomposition of Acoustic Models", IEEE Region 10 Annual International Conference, Proceedings/TENCON , vol.2018-October , (DOI - 10.1109/TENCON.2018.8650249) ,pp.1484-1488, [2019].

7. Sehgal B., Shekhawat H.S., Jana S.K., "Automatic Target Recognition Using Recurrent Neural Networks", 1st International Conference on Range Technology, ICORT 2019 , (DOI - 10.1109/ICORT46471.2019.9069656) [2019].

8. Gupta D., Shekhawat H.S., "Artificial bandwidth extension using H??? optimization", Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH , vol.2019-September , (DOI - 10.21437/Interspeech.2019-1580) ,pp.3421-3425, [2019].

9. Shekhawat H.S., Weiland S., "A novel computational scheme for low multi-linear rank approximations of tensors", 2015 European Control Conference, ECC 2015 , (DOI - 10.1109/ECC.2015.7330994) ,pp.3003-3008, [2015].