Application of New Artificial Intelligence Technology in the Voice Recognition and Analysis System of Electric Power Information Customer Service

2020 ◽  
Author(s):  
Jia Zhu ◽  
Donglai Wu
Keyword(s):  
Artificial Intelligence ◽  
Electric Power ◽  
Customer Service ◽  
Voice Recognition ◽  
Artificial Intelligence Technology ◽  
Analysis System ◽  
The Voice

scholarly journals Integration of Artificial Intelligence Technology Towards E-Services Among Online Clothing Websites

2019 ◽  
Vol 9 (2) ◽  
pp. 1562-1567
Keyword(s):  
Artificial Intelligence ◽  
Customer Satisfaction ◽  
Customer Service ◽  
Tamil Nadu ◽  
Customer Relationship ◽  
Snowball Sampling ◽  
Customer Experience Management ◽  
Intelligence Services ◽  
Artificial Intelligence Technology ◽  
Tamil Nadu State

Online Apparel Industry is one of the growing industries among many other online markets. The industry is moving towards a major technological shift due to new and innovative tools such as Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR). Customer Experience Management is highly influenced by gaining customer satisfaction via integrated AI technology for providing efficient customer service. This study emphasizes the intervention of AI technology with online clothing websites such as Jabong and Myntra. The findings explore that Customer Relationship Management (CRM) Services, Personalization services, Visual Assistance and Fit Intelligence Services are enhanced from AI tools that lead to Customer Satisfaction and Customer Retention. The research utilized non-probability Judgmental Sampling and snowball sampling where the respondents belong to Tamil Nadu State and were genuine online customers who purchase clothes from online clothing websites

scholarly journals Voice Assistant based Telecommunication System (Tele-Bot)

2020 ◽  
Vol 9 (4) ◽  
pp. 1463-1465
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Programming Language ◽  
Voice Recognition ◽  
Telecommunication System ◽  
Python Programming Language ◽  
Artificial Intelligence Technology ◽  
Scripting Language ◽  
High Level ◽  
Python Programming

In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level, Power full programming Scripting language. Fully developed voice recognition modules are to be used for development of our research oriented topic

Artificial Intelligence in Accounting and Finance: Meta-Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 56-79
Author(s):  
Oguljan Berdiyeva ◽  
Muhammad Umar Islam ◽  
Mitra Saeedi
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Intelligent Agents ◽  
Meta Analysis ◽  
Traditional System ◽  
Finance Industry ◽  
Key Points ◽  
Artificial Intelligence Technology ◽  
The Impact ◽  
Artificial Intelligence Systems

The use of the traditional system is declined greatly and with a modernization of the accounting and finance process there have been a great deal of change, and these improvements are beneficial to the accounting and finance industry. Adopting Artificial Intelligence applications such as Expert systems for audit and tax, Intelligent Agents for customer service, Machine Learning for decision making, etc. can lead a great benefit by reducing errors and increasing the efficiency of the accounting and finance processes. To keep ensuring a transparent and replicable process, we have conducted a meta-analysis. The database search was between the years 1989-2020 and reviewed 150 research papers. As meta-analysis results show, the majority of researches illustrate a positive effect of the impact of AI systems in the accounting and finance process. Key points:  Meta-Analysis has been applied for emphasizing positive results of the impact of Artificial Intelligence systems in the Accounting and Finance process.  Implementing Artificial Intelligence systems in Accounting and Finance process can increase the efficiency of the process.  Artificial Intelligence technology has been influential in all the areas of accounting, which are especially concerned with knowledge

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

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