Search Results for author:
Found 8 papers, 3 papers with code
Bengali Intent Classification with Generative Adversarial BERT
Furthermore, we propose a novel approach for Bengali intent classification using Generative Adversarial BERT to evaluate the proposed dataset, which we call GAN-BnBERT.
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
We expect that this dataset and the detailed analysis and comparison of these clickbait detection models will provide a fundamental basis for future research into detecting clickbait titles in Bengali articles.
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
In this paper, we present a systematic review of the prediction with the reject option in the context of various neural networks.
Continuous tuning & thermally induced frequency drift stabilisation of time delay oscillators such as the optoelectronic oscillator
A solution to continuous tuning without mode-hopping and to compensation of thermally induced frequency drift without loss of lock of a time delay oscillator is proposed.
Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla
We also demonstrate the significance of domain selection while building a corpus by assessing these models on a novel multi-domain Bangladeshi Bangla ASR evaluation benchmark - BanSpeech, which contains approximately 6. 52 hours of human-annotated speech and 8085 utterances from 13 distinct domains.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Controlled Dropout for Uncertainty Estimation
In this study, we present a new version of the traditional dropout layer where we are able to fix the number of dropout configurations.
Circuit design and integration feasibility of a high-resolution broadband on-chip spectral monitor
Full tuning of the comb of resonances over a free spectral range is achieved with a high-resolution bandwidth of 1. 30 GHz.
Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients
This paper is an experimental evaluation of the algorithm we developed for DR diagnosis and screening specifically for Bangladeshi patients.
