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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 Kumar Tyagi Ajay Sharma dheeraj Kumar 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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Diuretic Activity of Ethanol Extract of Piper attenuatum Leaves Might Be Due to the Inhibition of Carbonic Anhydrase Enzyme:An in vivo and in silico Investigation

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Clinical Complementary Medicine and Pharmacology 2024年第1期4卷 62-68页

作者： Shikha Sharma Gaurav Kumar Nitin Kumar Neeraj K.Sethiya dheeraj Bisht Department of Pharmaceutical Sciences Lords UniversityAlwarRajasthan 301028India Navsahyadri Institute of Pharmacy NasrapurPuneMaharashtra 412213India Faculty of Pharmacy DIT UniversityMussoorie Diversion RoadDehradunUttarakhand 248009India Devsthali Vidyapeeth College of Pharmacy(Veer Madho Singh Bhandari Uttarakhand Technical University Dehradun)LalpurRudrapurUttarakhand 263148India

Background:Ayurvedic system of medicine is well established for prevention and treatment of renal *** are vast number of medicinal plants mentioned in Ayurvedic system of medicine,including Piper attenuatum Buch.-*** Miq.,which has been known to exhibit diuretic ***:To investigate possible mechanism and diuretic activity of ethanol extract of *** ***:Present study reports an in vivo diuretic activity of ethanol extracts of *** ***-four Sprague-Dawley male rats were deprived from food and water for 20 h,followed by being divided into four groups to receive normal saline,Furosemide,and two doses of the ethanol extract,***,the ethanol extract were subjected for prelimnary phytochemical screening test,and analytical investigation was performed via high-performance thin-layer chromatography(HPTLC),followed by effectiveness exploration of putative bioactive compounds from *** against human carbonic anhydrase(hCA)enzyme using molecular docking ***:During phytochemicals screening,several groups of compounds such as amides,terpenoids,proteins,flavonoids,and glycosides have been ***,HPTLC reveals presence of carbohydrates,proteins,amino acids,steroids,alkaloids,flavonoids,tannins,glycosides,and *** diuretic action was revealed for both 200 mg/kg bw and 400 mg/kg bw of ethanol extract of *** ***,molecular docking analysis demonstrated greater binding affinity of compounds such as Cepharadione A,Nor-cepharadione B,Galbelgin,Crotepoxide,and Pipoxide chlorohydrin out of total 23 studied compounds against hCA isoforms(a key biomarker for diuretic)and score is comparable with standard drug ***:It was concluded from the present studies that ethanol extract of *** leaves exhibits signifi-cant diuretic *** activity may be correlated due to the presence of Cepharadione A,Norcepharadion

关键词： Piper attenuatum Diuretic activity Phytochemicals In silico and molecular docking

Tree structure and diversity shape the biomass of primary temperate mountain forests

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Forest Ecosystems 2024年第4期11卷 568-579页

作者： dheeraj Ralhan Ruffy Rodrigo Heather Keith Annemiek Irene Stegehuis Jakob Pavlin Yumei Jiang Milos Rydval Juliana Nogueira Alexandre Fruleux Marek Svitok Martin Mikolas Daniel Kozak Martin Dusatko Pavel Janda Oleh Chaskovsky Catalin-Constantin Roibu Miroslav Svoboda Czech University of Life Sciences Prague Faculty of Forestry and Wood SciencesKamycka 129Suchdol16521 Praha 6Czech Republic Department of Forest Science Biliran Province State UniversityBiliran6549Philippines Griffith Climate Action Beacon Griffith UniversityParklands DriveSouthportGold CoastQueensland4222Australia Laboratoire de Geologie IPSLCNRSUMR 8538Ecole Normale SuperieurePSL UniversityParisFrance Univ.Lille Institut Mines-TelecomUniv.ArtoisJuniaULR 4515LGCgELaboratoire de Genie Civil et Geo-EnvironnementF-59000LilleFrance Department of Biology and General Ecology Faculty of Ecology and Environmental SciencesTechnical University in ZvolenMasaryka 2496001ZvolenSlovakia Institute of Forest Management Ukrainian National Forestry UniversityLvivUkraine Forest Biometrics Laboratory–Faculty of Forestry Stefan Cel Mare University of SuceavaUniversitații Street Number.13Suceava720229Romania

Primary forests are spatially diverse terrestrial ecosystems with unique characteristics,being naturally regenerative and heterogeneous,which supports the stability of their carbon storage through the accumulation of live and dead ***,little is known about the interactions between biomass stocks,tree genus diversity and structure across a temperate montane primary ***,we investigated the relationship between tree structure(variability in basal area and tree size),genus-level diversity(abundance,tree diversity)and biomass stocks in temperate primary mountain forests across Central and Eastern *** used inventory data from726 permanent sample plots from mixed beech and spruce across the Carpathian *** used nonlinear regression to analyse the spatial variability in forest biomass,structure,and genus-level diversity and how they interact with plot-level tree age,disturbances,temperature and *** found that the combined effects of genus and structural indices were important for addressing the variability in biomass across different spatial *** processes in disturbance regimes and uneven tree age support forest hete rogeneity and the accumulation of live and dead biomass through the natural regeneration,growth and decay of the forest *** complexities in basal area index,supporte d by genus-level abundance,positively influence total biomass stocks,which was modulated by tree age and *** forests showed higher tree density and basal area than mixed beech forests,though mixed beech still contributes significantly to biomass across *** heterogeneity was strongly influenced by complexities in forest composition(tree genus diversity,structure).We addressed the importance of primary forests as stable carbon stores,achieved through structure and *** such ecosystems is critical for ensuring the stability of the primary forest,carbon store and biodiversity into the future.

关键词： Biodiversity indicators Biomass carbon stock Ecosystem functioning Forest composition Primary forest structure Tree size distribution

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Psychiatric comorbidities in epilepsy:population co-occurrence,genetic correlations and causal effects

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General Psychiatry 2024年第1期37卷 103-111页

作者： Viktor H Ahlqvist Christina Dardani Paul Madley-Dowd Harriet Forbes Jessica Rast Caichen Zhong Renee M Gardner Christina Dalman Kristen Lyal cRAIG Newschaffer Torbjorn Tomson Michael Lundberg Daniel Berglind Neil M Davies Brian K Lee Cecilia Magnusson dheeraj Rai Department of Global Public Health Karolinska InstitutetStockholmSweden Medical Research Council Integrative Epidemiology Unit Bristol Medical SchoolUniversity of BristolBristolUK Centre for Academic Mental Health Population Health SciencesBristol Medical SchoolUniversity of BristolBristolUK Faculty of Epidemiology and Population Health London School of Hygiene and Tropical MedicineLondonUK A.J.Drexel Autism Institute Drexel UniversityPhiladelphiaPAUSA Department of Epidemiology and Biostatistics School of Public HealthDrexel UniversityPhiladelphiaPAUSA College of Health and Human Development Pennsylvania State UniversityState CollegePAUSA Department of Clinical Neuroscience Karolinska InstitutetStockholmSweden Centre for Epidemiology and Community Medicine Region StockholmStockholmSweden K.G Jebsen Center for Genetic Epidemiology Department of Public Health and NursingNorwegian University of Science and TechnologyTrondheimNorway Division of Psychiatry University Collge LondonLondonUK Department of Statistical Sciences University Cllge LondonLondonK NIHR Biomedical Research Centre University of BristoBristolUK Avon and Wiltshire Partnership NHS Mental Health TrustBristolUK

Background Psychiatric comorbidities are common in patients with *** for the co-occurrence of psychiatric conditions and epilepsy remain poorly *** We aimed to triangulate the relationship between epilepsy and psychiatric conditions to determine the extent and possible origins of these *** Using nationwide Swedish health registries,we quantified the lifetime prevalence of psychiatric disorders in patients with *** then used summarydata from genome-wide association studies to investigate whether the identified observational associations could be attributed to a shared underlying genetic aetiology using cross-trait linkage disequilibrium score ***,we assessed the potential bidirectional relationships using two-sample Mendelian *** In a cohort of 7628495 individuals,we found that almost half of the 94435 individuals diagnosed with epilepsy were also diagnosed with a psychiatric condition in their lifetime(adjusted lifetime prevalence,44.09%;95%confidence interval(Cl)43.78%to 44.39%).We found evidence for a genetic correlation between epilepsy and some neurodevelopmental and psychiatric *** example,we observed a genetic correlation between epilepsy and attention-deficit/hyperactivity disorder(r,=0.18,95%Cl 0.09 to 0.27,p<0.001)—a correlation that was more pronounced in focal epilepsy(r=0.23,95%CI 0.09 to 0.36,p<0.001).Findings from Mendelian randomisation using common genetic variants did not support bidirectional effects between epilepsy and neurodevelopmental or psychiatric *** Psychiatric comorbidities are common in patients with *** correlations may partially explain some comorbidities;however,there is little evidence of a bidirectional relationship between the genetic liability of epilepsy and psychiatric *** findings highlight the need to understand the role of environmental factors or rare genetic variations in the origins of psy

关键词： epilepsy Psychiat lifetime

Sentiment Analysis on Social Media Using Genetic Algorithm with CNN

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Computers, Materials & Continua 2022年第3期70卷 5399-5419页

作者： Dharmendra Dangi Amit Bhagat dheeraj Kumar Dixit Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

There are various intense forces causing customers to use evaluated data when using social media platforms and microblogging ***,customers throughout the world share their points of view on all kinds of topics through these *** massive volume of data created by these customers makes it impossible to analyze such data ***,an efficient and intelligent method for evaluating social media data and their divergence needs to be ***,various types of equipment and techniques are available for automatically estimating the classification of *** analysis involves determining people’s emotions using facial *** analysis can be performed for any individual based on specific *** present study describes the analysis of an image dataset using CNNswithPCA intended to detect people’s sentiments(specifically,whether a person is happy or sad).This process is optimized using a genetic algorithm to get better ***,a comparative analysis has been conducted between the different models generated by changing the mutation factor,performing batch normalization,and applying feature reduction using *** steps are carried out across five experiments using *** maximum accuracy obtained is 96.984%,which is associated with the Happy and Sad sentiments.

关键词： Sentiment analysis convolutional neural networks facial expression genetic algorithm

Emerging trends in information and communication technology in mine safety and disaster management

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Journal of Coal Science & Engineering(China) 2010年第3期16卷 277-283页

作者： dheeraj Kumar Department of Mining Engineering I.S.M University

There is tremendous growth in the use of Geographic Information Systems(GIS), Global Positioning Systems (GPS), Remote Sensing, Satellite Communication, andModeling & Simulation *** tools and techniques helps significantly in characterizinginfrastructure, risk area and disaster zones, planning and implementation ofhazards reduction measures *** satellites becomes vital for providingemergency communication and timely relief *** of space technologyinputs into natural disaster monitoring and mitigation mechanisms is critical for hazard *** paper mainly focused on all the issues described *** emphasis hadbeen given to the recent developments in information & communication technology enabledtools and their applications in mining industries for safe mining operations with increasedproductivity.

关键词： information and communication mine safety disaster management

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Fake News Classification Using a Fuzzy Convolutional Recurrent Neural Network

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Computers, Materials & Continua 2022年第6期71卷 5733-5750页

作者： dheeraj Kumar Dixit Amit Bhagat Dharmendra Dangi Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

In recent years,social media platforms have gained immense *** a result,there has been a tremendous increase in content on social media *** content can be related to an individual’s sentiments,thoughts,stories,advertisements,and news,among many other content *** the recent increase in online content,the importance of identifying fake and real news has ***,there is a lot of work present to detect fake news,a study on Fuzzy CRNN was not explored into this *** this work,a system is designed to classify fake and real news using fuzzy *** initial feature extraction process is done using a convolutional recurrent neural network(CRNN).After the extraction of features,word indexing is done with high ***,based on the indexing measures,the ranking process identifies whether news is fake or *** fuzzy CRNN model is trained to yield outstanding resultswith 99.99±0.01%*** work utilizes three different datasets(LIAR,LIAR-PLUS,and ISOT)to find the most accurate model.

关键词： Fake news detection text classification convolution recurrent neural network fuzzy convolutional recurrent neural networks

A comprehensive review from hyperlink to intelligent technologies based personalized search systems

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Journal of Management Analytics 2019年第4期6卷 365-389页

作者： dheeraj Malhotra O.P.Rishi Department of Computer Science and Informatics University of KotaRajasthanIndia

In the present era of big data,web page searching and ranking in an efficient manner on the World Wide Web to satisfy the specific search needs of the modern user is undoubtedly a major challenge for search *** though a large number of web search techniques have been developed,some problems still exist while searching with generic search engines as none of the search engines can index the entire *** issue is not just the volume but also the relevance concerning the user’s ***,if the search query is partially incomplete or is ambiguous,then most of the modern search engines tend to return the result by interpreting all possible meanings of the *** search quality,more than half of the retrieved web pages have been reported to be *** web search personalization is required to retrieve search results while incorporating the user’s *** the proposed research work we have highlighted the strengths and weakness of various studies as proposed in the literature for web search personalization by carrying out a detailed comparison among *** in-depth comparative study with baselines leads to the recommendation of Intelligent Meta Search System(IMSS)and Advanced Cluster Vector Page Ranking(ACVPR)algorithm as one of the best approaches as proposed in the literature for web search ***,the detailed discussion about the comparative analysis of all categories gives new opportunities to think in different research areas.

关键词： web search personalization meta search tool machine learning big data analytics collaborative filtering logistic regression

Biosurfactants as a Biological Tool to Increase Micronutrient Availability in Soil: A Review

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Pedosphere 2018年第2期28卷 170-189页

作者： Ratan SINGH Bernard R.GLICK dheeraj RATHORE School of Environment and Sustainable Development Central University of Gujarat Department of Biology University of Waterloo

Addressing micronutrient deficiencies in agricultural soils to meet the growing demands of crops is a matter of great concern *** use of biosurfactant,a multifunctional microbial metabolite,to enhance nutrient availability may be a sustainable way of enhancing agricultural *** are generally less toxic than synthetic *** application of biosurfactants in agricultural soils is anticipated to improve nutrient status,increase wettability,and achieve a more even dissemination of complex *** studies have evaluated the influence of biosurfactants on bioremediation,antimicrobial activity,and soil flushing *** manuscript reviews the possibility of employing biosurfactants to mobilize and solubilize soil nutrients and make them available to plants through the formation of metal-biosurfactant *** significant progress regarding an explanation of the mechanisms behind many biosurfactant-induced effects has been made,there are still many aspects of this area that are not sufficiently elucidated,such as differences in specificity for nutrients(e.g.,Cu,Fe,Mn,and Zn)and toxins(e.g.,Cd and Pb).Biosurfactants from various isolates have been considered for their potential role in plant growth promotion and other applications related to improving the effectiveness of agricultural soils.

关键词： critical micelle concentration micelle formation microbial metabolite microbial isolate micronutrient deficiency soilmetal bioavailability

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