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Deep Learning-Based Speech Emotion Recognition: Leveraging Diverse Datasets and Augmentation Techniques for Robust Modeling

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Ayush Porwal praveen kuma. tyagi Ajay Sharma Dheeraj kuma. Agarwal Department of Electronics and Instrumentation Engineering， Shri G.S.Institute of Technology and Science Department of Electronics and Communication Engineering， Maulana Azad National Institute of Technology School of Computing Science and Engineering， VIT Bhopal University

In recent years， Speech Emotion Recognition (SER) has developed into an essential instrument for interpreting human emotions from auditory data. The proposed research focused on the development of a SER system employing deep learning and multiple datasets containing samples of emotive speech. The primary objective of this research endeavor is to investigate the utilization of Convolutional Neural Networks (CNNs) in the process of sound feature extraction. Stretching， pitch manipulation， and noise injection are a few of the techniques utilized in this study to improve the data quality. The investigation includes coverage of these methods. Feature extraction methods including Zero Crossing Rate， Chroma＿stft， MFCC， RMS， and MelSpectogram are used to train a model. By using these techniques， audio signals can be transformed into recognized features that can be utilized to train the model. Ultimately， the study will produce a thorough evaluation of the model’s performance. When this method was applied， the model achieved an impressive accuracy of 94.57% on the test dataset. Proposed work also validated on EMO-BD and IEMOCAP dataset. These consist of further data augmentation， feature engineering， and hyperparameter optimization. By following these development paths， SER systems will be able to be implemented in real-world scenarios with greater accuracy and resilience.

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All ileo-cecal ulcers are not Crohn's:Changing perspectives of symptomatic ileocecal ulcers

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World Journal of Gastrointestinal Endoscopy 2017年第7期9卷 327-333页

作者： Jay Toshniwal Romesh Chawlani Amit Thawrani Rajesh Sharma Anil Arora Hardik L Kotecha Mohan Goyal Vijendra Kirnake Pankaj Jain Pankaj tyagi Naresh Bansal Munish Sachdeva Piyush Ranjan Mandhir kuma. praveen Sharma Vikas Singla Rinkesh Bansal Vineet Shah Sunita Bhalla Ashish kuma. Department of Gastroenterology Dr.Toshniwal’s Gastro-Liver Care Department of Gastroenterology Sir Gangaram Hospital Department of Histo-pathology Sir Gangaram Hospital

To investigated clinical, endoscopic and histopathological parameters of the patients presenting with ileocecal ulcers on colonoscopy. METHODSConsecutive symptomatic patients undergoing colonoscopy, and diagnosed to have ulcerations in the ileocecal (I/C) region, were enrolled. Biopsy was obtained and their clinical presentation and outcome were recorded. RESULTSOut of 1632 colonoscopies, 104 patients had ulcerations in the I/C region and were included in the study. Their median age was 44.5 years and 59% were males. The predominant presentation was lower GI bleed (55, 53%), pain abdomen ± diarrhea (36, 35%), fever (32, 31%), and diarrhea alone (9, 9%). On colonoscopy, terminal ileum was entered in 96 (92%) cases. The distribution of ulcers was as follows: Ileum alone 40% (38/96), cecum alone 33% (32/96), and both ileum plus cecum 27% (26/96). The ulcers were multiple in 98% and in 34% there were additional ulcers elsewhere in colon. Based on clinical presentation and investigations, the etiology of ulcers was classified into infective causes (43%) and non-infective causes (57%). Fourteen patients (13%) were diagnosed to have Crohn’s disease (CD). CONCLUSIONNon-specific ileocecal ulcers are most common ulcers seen in ileo-cecal region. And if all infections are clubbed together then infection is the most common (> 40%) cause of ulcerations of the I/C region. Cecal involvement and fever are important clues to infective cause. On the contrary CD account for only 13% cases as a cause of ileo-cecalulcers. So all symptomatic patients with I/C ulcers on colonoscopy are not Crohn’s.

关键词： Ileocecal Crohn’s disease Diffuse large B-cell non-hodgkin’s lymphoma

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