A learning framework of modified deep recurrent neural network for classification and recognition of voice mood

Agarwal, Gaurav; Om, Hari; Gupta, Sachi

doi:10.1002/acs.3425

Cited by 10 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Complex Proportionality Assessment (COPRAS) Method Similar to any Many other criteria that will make the decision (MCDM) tool, the first Proposed COBRAS method of several related criteria is Basically for alternatives Used to prioritize criterion weights. This method is the better and Worst-Best Solution Best decision considering Selecting alternatives [16]. Cobras approach is used for device tool choice; Because of this, the triangle Ambiguous numbers are selected for their computational performance.…”

Section: Coprasmentioning

confidence: 99%

Understanding the Performance of Micro and Small Entrepreneurs by (COPRAS)

2022

jdaai

View full text Add to dashboard Cite

Micro and Small Entrepreneurs Micro-entrepreneurs, those who own and operate businesses with fewer than five employees, are the most common type of entrepreneurs in the world and make up a large part of the informal economy in low-income countries. Micro and Small Entrepreneurs of the proposed method Comparative analysis to illustrate the application Conducting and credit evaluation Example is used. COPRAS (Complex Proportional Evaluation is proposed to evaluate the possible maintenance strategy. Linguistic terms are used to evaluate the ratings and weights. The rankings of the alternatives are COPRAS Entrepreneur 1, Entrepreneur 2, Entrepreneur 3, and Entrepreneur 3 Entrepreneur. Credit histories, behavioral preference, performance skills, identity features, and interpersonal relationships. Entrepreneurs 2 got the first rank whereas Entrepreneurs have the lowest rank. In this paper, Micro and Small Entrepreneurs 2 is got the first rank whereas the Entrepreneurs3is has the lowest rank.

show abstract

Section: Coprasmentioning

confidence: 99%

Understanding the Performance of Micro and Small Entrepreneurs by (COPRAS)

2022

jdaai

View full text Add to dashboard Cite

show abstract

“…On the other side, emotions for the categorical approach are characterized as sad, happy, angry, and fearful [8]- [11]. There is the main aim of the music emotion reorganization system is to define the appropriate content of music by using deep learning or machine learning algorithm for classifying the [16], [17]. Also, the emotion classification from the music has been done using a combination of various models represented as a multi-modal such as bidirectional encoder representations from transformers (BERT) and LSTM, CNN and LSTM, and CNN and Bi-LSTM.…”

Section: Introductionmentioning

confidence: 99%

Emotion classification for musical data using deep learning techniques

Agarwal¹,

Gupta²,

Agarwal³

et al. 2023

IJRES

View full text Add to dashboard Cite

This research is done based on the identification and thorough analyzing musical data that is extracted by the various method. This extracted information can be utilized in the deep learning algorithm to identify the emotion, based on the hidden features of the dataset. Deep learning-based convolutional neural network (CNN) and long short-term memory-gated recurrent unit (LSTM-GRU) models were developed to predict the information from the musical information. The musical dataset is extracted using the fast Fourier transform (FFT) models. The three deep learning models were developed in this work the first model was based on the information of extracted information such as zero-crossing rate, and spectral roll-off. Another model was developed on the information of Mel frequencybased cepstral coefficient (MFCC) features, the deep and wide CNN algorithm with LSTM-GRU bidirectional model was developed. The third model was developed on the extracted information from Mel-spectrographs and untied these graphs based on two-dimensional (2D) data information to the 2D CNN model alongside LSTM models. Proposed model performance on the information from Mel-spectrographs is compared on the F1 score, precision, and classification report of the models. Which shows better accuracy with improved F1 and recall values as compared with existing approaches.

show abstract

“…Jayalakshmi VA.et.al / REST Journal on Data Analytics and Artificial Intelligence, 1(2) 2022,[15][16][17][18][19][20][21][22][23] …”

mentioning

confidence: 99%

Investigating Human Resource Practice in a Major Company Using GRA Method

2022

jdaai

View full text Add to dashboard Cite

Organizations have a function called human resource management that emphasizes organization and guiding principles. How people are managed within organizations is the main focus of HR. There are procedures within HR departments and units for numerous measures of responsibility in general, including hiring employees, providing them with training and growth opportunities, evaluating their performance, and rewarding them. HR is concerned with lab our relations, including collective bargaining and reconciling company policies with rules resulting from governmental law. Transactional tasks like payroll and benefits administration predominated the role at first, but because of globalization, organizational integration, technology advancement, and subsequent study, HR now links with strategic efforts. In the past, human resource management (HRM) stood alone as a discipline. In reality, payroll and other administrative difficulties are generally handled by human resource and operations managers. The two topics are investigated independently by various social scientists in academia, which frequently draw from distinct disciplinary backgrounds and publish in different publications. However, on a fundamental level, operations and human resources are strongly intertwined. A function is a setting that frequently clarifies or limits the consequences of human resource operations like compensation, training, staffing, and communication. Several studies have looked into the relationship between employee performance and an organization's bottom line. The important research on human resource management (HRM) challenges in the travel and hospitality sector is structurally reviewed in this article. Human resource management initiatives in the past have focused on three different business strategies: management fit strategies, labour functions with predictable manpower, specific strategic objectives or needs, environmental supply conditions, and human resource coordination mechanisms that align management strategy and structure overall effort. This article reviews the literature on each of these strategies and presents a taxonomy that compares them. an association between a company's business and human resource strategies. Discussions about the study and practical implications follow. Information technology has significantly changed human resources (HR) processes and practices in recent years. However, there aren't many studies that have looked at its efficacy and the majority of those that don't assess how much these new systems aid businesses in achieving their HR objectives of luring, inspiring, and keeping people. There are numerous restrictions connected with present systems for a reason: One-way communication systems are used, it's impersonal and passive, personal communication authorization isn't always granted, and it frequently creates an unnatural barrier between people and companies. As a result, the main goals of this article are to analyses the present effects of technology on HR procedures, take into account the literatu...

show abstract

A learning framework of modified deep recurrent neural network for classification and recognition of voice mood

Cited by 10 publications

References 37 publications

Understanding the Performance of Micro and Small Entrepreneurs by (COPRAS)

Understanding the Performance of Micro and Small Entrepreneurs by (COPRAS)

Emotion classification for musical data using deep learning techniques

Investigating Human Resource Practice in a Major Company Using GRA Method

Contact Info

Product

Resources

About