Emotional Analysis and Synthesis of Human Voice Based on STRAIGHT

2014 ◽  
Vol 536-537 ◽  
pp. 105-110
Author(s):  
Ran Ran Chang ◽  
Xiao Qing Yu ◽  
Ying Ying Yuan ◽  
Wang Gen Wan
Keyword(s):  
Artificial Intelligence ◽  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Human Computer Interaction ◽  
Speech Synthesis ◽  
Characteristic Parameters ◽  
Acoustic Feature ◽  
Human Voice ◽  
Analysis And Synthesis ◽  
Better Than

Speech synthesis is a hot research of artificial intelligence today, and urgent difficulty to overcome is how to make the machine more "emotional intelligence" for the human-computer interaction. With the STRAIGHT algorithm, this paper extracted the acoustic feature parameters of the speech signals and did statistical analysis, modified the characteristic parameters of the neutral sounds to synthesize emotional speeches, including happy, angry, frustration, then analyzed a frame of spectrum of synthetic emotional speeches through standard voices, voices added noise and voices de-nosing. The experimental results show that the method is feasible and the synthetic emotional speeches through voices de-nosing are better than voices added noise.

Pengaruh Kecerdasan Emosional Dan Kecerdasan Spiritual Pada Kepuasan Kerja Yang Berdampak Terhadap Kinerja Karyawan PT. Madu Baru Bantul, Yogyakarta

2018 ◽  
Vol 26 (1) ◽  
pp. 13-29
Author(s):  
Erlangga Arya Mandala ◽  
Faresti Nurdiana Dihan
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Significant Influence ◽  
Significant Relationship ◽  
Research Method ◽  
Quantitative Method ◽  
Employee Performance ◽  
Spiritual Intelligence ◽  
Employee Job Satisfaction

The Emotional intelligence, spiritual intelligence and job satisfaction to be part of the factors that influence performance. The purpose of this study was to determine the effect of emotional intelligence and spiritual intelligence on the performance through job satisfaction as an intervening variable partially and simultaneously. This study also aimed to determine the effect of emotional intelligence and spiritual intelligence on the performance through job satisfaction as an intervening variable directly and indirectly. This study was conducted to 77 respondents employees of PT. Madu Baru, Yogyakarta. The research method used is quantitative method uses statistical analysis and descriptive. The results of this study are (1) there is a significant effect of emotional intelligence on employee job satisfaction. (2) there is a significant influence of spiritual intelligence on employee job satisfaction. (3) There is a significant relationship between emotional intelligence and spiritual intelligence on job satisfaction. (4) There is a significant relationship between emotional intelligence on employee performance. (5) There is a significant relationship between spiritual intelligence on employee performance. (6) There is a significant relationship between emotional intelligence and spiritual intelligence on employee performance. (7) There is a significant relationship between job satisfaction on employee performance. (8) There is an indirect effect of emotional intelligence on the performance of employees through job satisfaction. (9) There is the indirect influence of spiritual intelligence on the performance of employees through job satisfaction. Keywords: emotional intelligence, spiritual intelligence, job satisfaction and employee performance

Artificial intelligence and the management transformation

2020 ◽  
Vol 16 (4) ◽  
pp. 600-612
Author(s):  
L.F. Nikulin ◽  
V.V. Velikorossov ◽  
S.A. Filin ◽  
A.B. Lanchakov
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Soft Power ◽  
Process Integration ◽  
Management Practice ◽  
Scientific School ◽  
Strategic Culture ◽  
Analysis And Synthesis ◽  
And Training

Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves. Results. We analyzed the scope of management as is and found that threats and global challenges escalate due to the advent of artificial intelligence. We provide the rationale for recognizing the strategic culture as the self-organizing system of business process integration. We suggest and substantiate the concept of soft power with reference to strategic culture, which should be raised, inter alia, through the scientific school of conflict studies. We give our recommendations on how management and training of managers should be improved in dealing with artificial intelligence as it evolves. The novelty hereof is that we trace trends in management transformation as the role of artificial intelligence evolves and growth in governance, production and social life. Conclusions and Relevance. Generic solutions are not very effective for the Russian management practice during the transition to the sixth and seventh waves of innovation. Any programming product represents artificial intelligence, which simulates a personality very well, though unable to substitute a manager in motivating, governing and interacting with people.

EMOTIONAL INTELLIGENCE AND ACADEMIC ACHIEVEMENT OF ADOLESCENTS WITH REFERENCE TO GENDER

2017 ◽  
Vol 4 (24) ◽  
Author(s):  
Nisha Chandel ◽  
Seema Chopra
Keyword(s):  
Academic Achievement ◽  
Emotional Intelligence ◽  
Female Adolescents ◽  
Intelligence Scale ◽  
Male And Female ◽  
Male Adolescents ◽  
Significant Difference ◽  
Understanding Emotions ◽  
School Records ◽  
Better Than

The present study was undertaken to find out emotional intelligence and academic achievement of male and female adolescents. The sample consists of 82 students( 41 male and 41 female adolescents) from different schools in Hamirpur district of Himachal Pradesh. Emotional intelligence was assessed with the help of Emotional Intelligence Scale developed by Singh and Narain (2014) and academic achievement score were taken from the school records. The results revealed that there exists a significant difference in emotional intelligence of male and female adolescents. It was found that there existed significant difference in academic achievement of female adolescents and male adolescents. The mean emotional intelligence of female adolescents was better than of male adolescents. On the dimensions of emotional intelligence, it was found that there was no significant difference between male and female adolescents on understanding emotions, empathy and handling relations dimensions of emotional intelligence; while it was reported that there was significant difference between male and female adolescents on understanding motivation dimension of emotional intelligence On the other hand, it was found that there existed significant difference in academic achievement of female adolescents and male adolescents.

DO REALLY EMOTIONAL QUOTIENT AND SPIRITUAL QUOTIENT AFFECT ON EMPLOYEE PERFORMANCE?

2017 ◽  
Vol 1 (1) ◽  
pp. 33-37
Author(s):  
Shofia Amin ◽  
Nany Mawaddah
Keyword(s):  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Least Squares ◽  
Work Performance ◽  
Employee Performance ◽  
Spiritual Intelligence ◽  
Path Modeling ◽  
Emotional Quotient ◽  
High Level ◽  
Positive Effect

The main purpose of this study is to examine the effect of emotional quotient on work performance, and the effect of spiritual quotient on work performance at BPMPPT of Jambi City. Using 68 employees as respondent, the data were collected by distributing questionnaire and analyzed by using partial least squares path modeling (PLS-SEM). The results of the analysis show that overall emotional intelligence and spiritual intelligence employee BPMPPT Jambi city is at a high level of quotient. While employee performance BPMPPT Jambi city is at a level of performance was enough. The statistical analysis shows that partially and simultantly emotional quotient and spiritual quotient has significant and positive effect on employee performance. Keywords: Emotional Quotient, Spiritual Quotient, Performance

Computing Possible Futures

2019 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Modeling ◽  
Mental Model ◽  
Data Analytics ◽  
Computational Models ◽  
Senior Managers ◽  
Interactive Visualizations ◽  
Use Of Models ◽  
Better Than

This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are currently entertaining. They cannot fully address this concern empirically. Thus, they need some way to make predictions. The problem is that one rarely can predict exactly what will happen, only what might happen. To overcome this limitation, executives can be provided predictions of possible futures and the conditions under which each scenario is likely to emerge. Models can help them to understand these possible futures. Most executives find such candor refreshing, perhaps even liberating. Their job becomes one of imagining and designing a portfolio of possible futures, assisted by interactive computational models. Understanding and managing uncertainty is central to their job. Indeed, doing this better than competitors is a hallmark of success. This book is intended to help them understand what fundamentally needs to be done, why it needs to be done, and how to do it. The hope is that readers will discuss this book and develop a “shared mental model” of computational modeling in the process, which will greatly enhance their chances of success.

scholarly journals Why a Virtual Assistant for Moral Enhancement When We Could have a Socrates?

2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
New Technologies ◽  
Personal Autonomy ◽  
Moral Enhancement ◽  
Moral Decisions ◽  
Educational Methodology ◽  
Better Than

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.

scholarly journals Anthropomorphized artificial intelligence, attachment, and consumer behavior

2021 ◽  
Author(s):  
Erik Hermann
Keyword(s):  
Artificial Intelligence ◽  
Emotional Intelligence ◽  
Consumer Behavior ◽  
Research Opportunities ◽  
Social Lives

AbstractThe increasing humanization and emotional intelligence of AI applications have the potential to induce consumers’ attachment to AI and to transform human-to-AI interactions into human-to-human-like interactions. In turn, consumer behavior as well as consumers’ individual and social lives can be affected in various ways. Following this reasoning, I illustrate the implications and research opportunities related to consumers’ (potential) attachment to humanized AI applications along the stages of the consumption process.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

Civil Aeroengine Fault Diagnosis Based on Fuzzy Least Square Support Vector Machine

2011 ◽  
Vol 130-134 ◽  
pp. 2047-2050 ◽  
Author(s):  
Hong Chun Qu ◽  
Xie Bin Ding
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Coefficient Matrix ◽  
Least Square ◽  
Support Vector ◽  
Influence Coefficient ◽  
Structural Risk ◽  
Better Than

SVM(Support Vector Machine) is a new artificial intelligence methodolgy, basing on structural risk mininization principle, which has better generalization than the traditional machine learning and SVM shows powerfulability in learning with limited samples. To solve the problem of lack of engine fault samples, FLS-SVM theory, an improved SVM, which is a method is applied. 10 common engine faults are trained and recognized in the paper.The simulated datas are generated from PW4000-94 engine influence coefficient matrix at cruise, and the results show that the diagnostic accuracy of FLS-SVM is better than LS-SVM.

scholarly journals Research on Campus Education Information System Based on Internet of Things and Artificial Intelligence Decision

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hetiao Hong
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Original System ◽  
Functional Testing ◽  
Excellent Performance ◽  
Teachers And Students ◽  
Interface Function ◽  
Artificial Intelligence Technology ◽  
Education Platform ◽  
Better Than

Because of the different reasons between regions, the distribution of educational resources is also different, the development of each school is unbalanced, and the degree of campus education informationization is different. The complex functional structure not only does not facilitate teachers and students but also leads to many problems: the prevention and prevention of campus life safety. It is difficult to keep and use multiple cards owned by one person. Software and education platform cannot be seamlessly connected, and there are various barriers between data and data and people and data. The lack of learning materials leads to the inequality of information. There are no good feedback and solution between teachers and students. It is difficult to manage accurately with a large number of people. This study will be based on the Internet and artificial intelligence technology, to explore how to study a large (or super large), concise and efficient, and excellent performance of campus education information system; this system can meet the teachers and students no matter what year, month, and day of a large number of visits. For some problems in the process of building the system, actively optimize and refine them. After functional testing and analysis of the system, the experimental results show that the interface function of the new system is stable, the usability test is better than the feedback experience of the original system, the response time is reduced by 21.6% on average, and the overall power consumption of the system is reduced by about 1.43% on average.

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