Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Singh Satwinder"'
Most of the current speech data augmentation methods operate on either the raw waveform or the amplitude spectrum of speech. In this paper, we propose a novel speech data augmentation method called PhasePerturbation that operates dynamically on the p
Externí odkaz:
http://arxiv.org/abs/2312.08571
In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings. While self-training approaches have been extensively developed and evaluated for high-resource languages such as English, their appli
Externí odkaz:
http://arxiv.org/abs/2308.05269
Autor:
Melhem, Muntaser J., Khassawneh, Osama, Darwish, Tamer K., Singh, Satwinder, Alanezi, Abdullah N.
Publikováno v:
Review of International Business and Strategy, 2024, Vol. 34, Issue 4, pp. 495-515.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIBS-12-2023-0142
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 4798-4802
We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet powerful meta learning approach. However, the MAML presents some core
Externí odkaz:
http://arxiv.org/abs/2205.06182
Autor:
Kaur Dilshad, Singh Satwinder
Publikováno v:
Applied Computer Systems, Vol 28, Iss 2, Pp 245-251 (2023)
Comparable corpora are the right resources for extracting parallel data due to their abundant availability. It is of great importance where parallel data are scarce. In this study, the focus is placed on building of parallel data for Punjabi and Engl
Externí odkaz:
https://doaj.org/article/4c946c214e204bb094a1dcf1348d6003
Autor:
Kaur, Arshdeep, Mittal, Meenakshi, Bhatti, Jasvinder Singh, Thareja, Suresh, Singh, Satwinder
Publikováno v:
In Artificial Intelligence In Medicine August 2024 154
Autor:
Ma, Zhizhong, Bullen, Chris, Chu, Joanna Ting Wai, Wang, Ruili, Wang, Yingchun, Singh, Satwinder
In smoking cessation clinical research and practice, objective validation of self-reported smoking status is crucial for ensuring the reliability of the primary outcome, that is, smoking abstinence. Speech signals convey important information about a
Externí odkaz:
http://arxiv.org/abs/2106.07874
We propose a novel pitch estimation technique called DeepF0, which leverages the available annotated data to directly learns from the raw audio in a data-driven manner. F0 estimation is important in various speech processing and music information ret
Externí odkaz:
http://arxiv.org/abs/2102.06306
Publikováno v:
Applied Computer Systems, Vol 28, Iss 1, Pp 125-136 (2023)
Machine learning based sentiment analysis is an interdisciplinary approach in opinion mining, particularly in the field of media and communication research. In spite of their different backgrounds, researchers have collaborated to test, train and aga
Externí odkaz:
https://doaj.org/article/68d83009816b4dbe9704adad4d884084
Publikováno v:
In Bone Reports December 2023 19