Voice Messages Research Articles

A Study on Basic Human Activity Recognition Based on Sensor Jacket for Interaction in Metaverse Environment

Metaverse is attracting attention as activities in various fields online have increased recently. On the metaverse platform, users express their feelings and communicate with other users using gestures, which are nonverbal communication, as well as voice and text messages. In this study, we constructed a basic dataset by utilizing the behavior used in the metaverse platform. Previously, motion capture systems were used to obtain accurate motion data. However, there is a problem that accessibility and convenience are poor due to the complexity of expensive equipment and use. To compensate for this problem, we have created a sensor jacket for wearing and fast motion recognition. Therefore, to verify recognition accuracy for sensor jacket use in metaverse environments, motion data from motion capture systems and sensor jacket systems are utilized by extreme learning machine algorithms and motion-sphere to compare and analyze recognition and matching rates. In addition, an easy-to-use motion recognition sensor jacket is proposed to communicate smoothly in a metaverse environment.

مقارنة استخدام وسيلة جوجل فرام وزوهو فرام لوسيلة تعليم اللغة العربية

The Google form is a Google product that is used to create a review and questionnaire paper across the web and to collect the response. Zoho Form is a web-based online platform used free of charge to create an online questionnaire and to collect a response. Google Form is used for the online form that is placed on the Internet or released in social media. Zoho Form's platform is easy to apply to users via computer, laptop or phone at any time and place with an Internet connection. The advantages of the Google Form platform are as follows: the industry is easy and effective use, and the shape of Beidou is attractive, this application provides facilitations for users to enter and use their images or logos in the browser, and the user does not need to print the earrings for Google Form and Majna, and lack of time to share. The disadvantages of the Google Form platform are that it is designed limitedly. One is the lack of character types, it requires a lot of internet quota, you must have email, and you can't send voice messages. The use comparison between them is that the Google Form platform is a tool that is used to plan the program, to send a note, to gather news, to give questions, and so on. The Google Form platform is used for the online form that is placed in the Internet where twenty-three programs are available. Zoho Form is the web-based electronic platform with twenty-seven programs available, and from the application axis it comes in two types; - application by computer - and application by phone. From here the use was becoming easy for users because it is not limited to the constraint of time and place, the Google Form platform does not have the presence detection, and the Zoho Form platform has no presence detection, the Google Form platform does not contain sending voice messages, while the Zoho Form platform contains sending voice messages, and can be used for companies, bodies and associations by applying the programs available in it such as sales, marketing, calculations and others

Do people intend to use AI Voice Assistants? An empirical study in Vietnam

ABSTRACT Today, the gradual popularization of artificial intelligence (AI) application technology such as Voice Assistants is making our daily life more convenient and time-saving. However, why do people choose to use Voice assistants to help them with daily tasks? Not many studies have focused on such an exciting issue. Therefore, the current study aimed to investigate the factors influencing users’ intentions to use Voice Assistant. Specifically, this study explored the impact of smartphone voice assistants with anthropomorphic design on the use intention among users. This study collected a sample of 645 smartphone users and attempted to examine the relationships among the constructs. We used path analysis to test all the hypotheses. Besides, an independent sample t-test was used to determine whether or not there were significant differences among the groups (types of Voice Assistants, Frequent and infrequent use, and gender) of the users. The results showed that both voice cues and message interactivity positively influence the social presence and perceived expertise, which affect the use intention of voice assistants. This study confirmed that highly anthropomorphic voice assistants increase voice assistant use intention among users.

Perception-guided generative adversarial network for end-to-end speech enhancement

Single channel speech enhancement has reached a great progress recently with the development of deep learning. However, it is still a challenging problem to achieve promising performance on unseen noisy conditions. The introduction of generative adversarial networks (GAN) could be helpful to alleviate the mismatch between seen training conditions and unseen testing conditions, where the generator performs as a speech denoiser to produce cleaned speech to fool the clean/noisy discriminator. In GAN, the design of the discriminator plays an important role to guide the generator towards an adequate goal. In this paper, we improve the well-known time domain framework, Speech Enhancement GAN (SEGAN), by introducing a perception-guided discriminator. The discriminator is able to quantitatively evaluate the quality of speech to be strongly related to human listening. New adversarial structures and training recipe have been proposed, studied and evaluated on the widely used dataset composed of the voice bank corpus and the DEMAND dataset. Experimental results show the superiority of our method with respect to the state-of-the-art baselines on obtaining higher or competitive scores of commonly used metrics of speech enhancement (STOI = 0.944, SSNR = 12.20, CSIG = 3.99, CBAK = 3.59, PESQ = 2.81, and CVOL = 3.36).

Factors influencing newly graduated registered nurses' voice behaviour: An interview study.

To gain insight into the factors that affect newly graduated registered nurses' voice behaviour. Employees with little work experience may experience difficulties with speaking up. Given that a lack of voice can negatively affect the delivery of safe client care and lower nurses' job satisfaction, it is important to understand which factors facilitate and hinder newly graduated nurses' voice behaviour. A qualitative descriptive study was conducted using semi-structured interviews with 17 newly graduated registered nurses working in inpatient hospital settings. In total, seven factors emerged from our data, which were grouped in four overarching themes. Whether newly graduated nurses speak up depends on (1) their levels of self-confidence, (2) whether they feel encouraged and welcome to speak up, (3) their relationship with the voice target and (4) the content of their voice message. Factors that affect newly graduated nurses' voice behaviour are multifaceted, but mostly centre around time spent in and relationships at the workplace. Nurse managers and colleagues can build an environment that fosters newly graduated nurses' voice behaviour. Specifically, induction programmes, assigning mentors and offering additional training can support newly graduated nurses in developing voice behaviour.

Design and Development of Wearable Eye for the Visually Impaired

The wearable eye for the blind or visually impaired persons is a technological advancement, which is aided by multidisciplinary courses like software engineering and hardware design. It aids the visually impaired to explore their surroundings as quickly as possible and assuresthem safety by sensing nearby deterrents with the use of ultrasonic waves and alerting them with a beeping sound and audio support. It also incorporates face recognition for identifying known people through a voice message when they appear before the visually impaired person. For a long time, the white stick, despite its power, still possesses a significantamount of weakness. This limitation is overcome by the design and development ofthis wearable innovation. The wearable eye deviceuses a little computer, the Raspberry Pi 4 module, ultrasonic sensors and a Raspberry Pi camera.

Thriving in the neoliberal academia without becoming its agent? Sociologising resilience with an early career academic and a mid-career researcher

In educational research, there has been much stricture of neoliberalism as a scourge. In the higher education sector, the neoliberal turn has been observed as eroding academic freedom and deprofessionalising academics. Early career academics are often described as victims of neoliberalism. In this paper, we take a positive perspective through a deep dive into resilience that enables self-transformation and, potentially, system change. Our paper is situated in the Chinese higher education context where the “up-or-out” system has been put in place, mirroring the neoliberal university at a global range. We — a mid-career researcher and an early career academic — analyse our collective narratives generated through WeChat text and voice message. Drawing insight from Bourdieu’s reflexive sociology, our narratives lead to four themes: capital accumulation and self-transformation, shaping the publication habitus, emancipation from symbolic violence, and resilience to symbolic domination. We conclude the paper with a call for sociology of resilience and recommendations for deneoliberalising higher education.

Wheelchair Assistance and Guidance Using IOT

A Smart Wheelchair is a Power Wheelchair with numerous sensors, assistive technology, and computers built in that allow a disabled person to travel around freely and safely. People with disabilities, such as impairments, handicaps, and life-altering injuries, are the users. The conventional wheelchairs are being increasingly replaced by these new models. Only 5 to 15% of the 70 million disabled individuals worldwide, according to the World Health Organization (WHO), have access to wheelchairs. As a result, we must supply a cost-effective Smart that uses cutting-edge components and technology while keeping costs to a minimum. They have embraced a number of technologies, including artificial intelligence, where they created an autonomous wheelchair that used machine learning principles to travel. Some of them have also used the Internet of Things to manage the wheelchair using a voice recognition system. This report will outline an inexpensive Smart Wheelchair-based Arduino Nano microcontroller and Internet of Things (IoT) technology that has a number of features to help disabled people, particularly poor people who cannot afford an expensive Smart Wheelchair, get the assistance they need to complete daily tasks without help. As a result of this project, a variety of disabled people will be able to afford smart wheelchairs. It will be powered by Arduino Nano, ESP-12e module for Wi-Fi access, MPU6050 for fall detection with voice message notification using IFTTT platform, obstacle detection with buzzer and LED for hazard detection, voice recognition system, and joysticks for wheelchair control.

Penggunaan Media Adiktif (Animasi Media Interkatif) Untuk Pengenalan Huruf Abjad Pada Anak Usia Dini

The purpose of this study is to create new innovations to develop learning media for children so as to make children motivated and attract children's interest in learning the introduction of letters of the alphabet. This ADDICTIVE media was created through the Power Point Application. ADDICTIVE media is equipped with a display of alphabet letters that vary in color, there are animated images to attract children's interest, and is equipped with voice messages if children are still confused about the letters of the alphabet. This ADDICTIVE media was created to introduce the letters of the alphabet to early children and introduce children to technology.This study uses a development research model with Borg and Gall theory as a reference.The process of stages in this research, the researcher simplifies and restricts into three stages, namely: data collection, product design and design validation. The results of the calculation of the validation assessment of the acquisition of a value of more than 0.50 means that the value of valid requirements and product feasibility is obtained, then the product made by the researcher can be categorized as valid (feasible) and the acquisition of a value of less than 0.50 can be categorized as invalid (not feasible). Suggestions for further research is that the results of this research can be used as research references and to be taken into consideration to further deepen further research that is more interesting for early childhood.

Vocal Airmail Service for Visually Impaired through Multimedia Approach

With the advent of technologies in computer, many technological solutions have been implemented for visually impaired so that they can utilize them, and get benefited by them. Considering it as a key idea we have built a desktop application that will help blind people to send and read emails as ordinary people do. In this research paper we describe the VMAIL system architecture for Python platform that can be used by a Blind Person to access e-mails easily. The application uses ‘text to speech’ and voice recognizer to facilitate sending, reading, emails using a computer. Internet has become one of the basic amenities for day-to-day living. Every human being is widely accessing the knowledge and information through internet. However, blind people face difficulties in accessing these text materials, also in using any service provided through internet. The advancement in computer based accessible systems has opened up many avenues for the visually impaired across the globe in a wide way. Audio feedback based virtual environment like, the screen readers have helped Blind people to access internet applications immensely. We describe the Voicemail system architecture that can be used by a Blind person to access e-Mails easily and efficiently

Improving oral communication skills of English learners with voice messages and short videos

University students face the challenge of communicating in a foreign language while speaking. This is perceived as one of the most complex skills to develop. The lack of opportunities to interact in the target language, in and out of the English classrooms, prevents students from acquiring fluency and confidence. This study examines the development of students' oral communication skills of Level B1 (Pre-Intermediate level of the Common European Framework of Reference for Languages) of English as a Foreign Language (EFL) using the WhatsApp applications. Forty–five EFL learners aged 18-25 from a language center at a university in Ecuador performed exercises using voice messages and short videos as part of their course planned activities. The data collection method consisted of surveys and interviews with the participants and their teacher’s observations. Data were analyzed using descriptive statistics and cross-tabulation accordingly. Analysis of the data evidenced that short videos were far more effective than voice messaging in improving the participants' oral communication skills. Other benefits were the improvement of grammar and pronunciation observed in the learners' voice messages, with the consequent improvement of their speaking fluency. It can be said that the participants' overall oral communication skills developed with the use of the WhatsApp application in this study. Therefore, the authors recommend exploring the application of technological resources in the EFL classroom.

Image based product recognition using barcode and OCR for visually impaired people

Humans do require a lot of communication. When there is interaction between normal people and blind people, communication can be difficult at certain points. This program facilitates communication between blind persons and the rest of the world. Numerous programs are available in the marketplace to help blind people interact with the outside world. To reach the blind, voice mail and chat programs are available. This program allows a person who is blind or has a visual impairment to purchase a product at a supermarket or grocery store using a scanner to scan the barcode of the product. It helps blind people get information on packaged foods and their descriptions. To use this system, you only need to take a photo of the object.

MANAGING: GIG WORKERS ECONOMY IN SUPPLY CHAIN

Gig economy in supply chain, can be successful, scalability, flexibility, with the workforce, agility, labour force flexibility, in achieving key areas of service levels in supply chain. Supply chain should be able to meet the changes in demand in the logistic sector, with a clear need for an agile contingent workforce, in supply chain. Supply chain gig workers are to fill the gap in supply chain, to boost the capacity, also able to undertake large scale projects, during a limited timeframe, of work in supply chain. Supply chain having temporary workforces, will also be able to meet the needs of the business, delivery, schedules, which can also be able to circumvent the high cost, with unnecessary permanent requirement in supply chain. Supply chain mainly depends upon the talent requirement within the industry of supply chain, is likely to subject of changes, depending upon the use of predictive analysis, to identify the factors that is liable to meet the impact of productivity in supply chain. Supply chain data driven is considered as an important in a gig economy, as it should be able to target free-lance workers, also the required manpower to meet the specific needs of supply chain, as gig economy is also able to bring the action on mobile, voice messages, internet of things in supply chain. Gig economy is integrating the concept of moving forward to strategy of digitalization, for sustainability in logistic, supply chain, facing an uphill task in business organization, to move the forefront in Internet of Things, machine building, in the perspective requirement of skilled manpower building, which is driven by talent, in order to face the business economy in supply chain.

Reference-Based Speech Enhancement via Feature Alignment and Fusion Network

Speech enhancement aims at recovering a clean speech from a noisy input, which can be classified into single speech enhancement and personalized speech enhancement. Personalized speech enhancement usually utilizes the speaker identity extracted from the noisy speech itself (or a clean reference speech) as a global embedding to guide the enhancement process. Different from them, we observe that the speeches of the same speaker are correlated in terms of frame-level short-time Fourier Transform (STFT) spectrogram. Therefore, we propose reference-based speech enhancement via a feature alignment and fusion network (FAF-Net). Given a noisy speech and a clean reference speech spoken by the same speaker, we first propose a feature level alignment strategy to warp the clean reference with the noisy speech in frame level. Then, we fuse the reference feature with the noisy feature via a similarity-based fusion strategy. Finally, the fused features are skipped connected to the decoder, which generates the enhanced results. Experimental results demonstrate that the performance of the proposed FAF-Net is close to state-of-the-art speech enhancement methods on both DNS and Voice Bank+DEMAND datasets. Our code is available at https://github.com/HieDean/FAF-Net.

Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study.

BackgroundIn South Africa, diabetes is a leading cause of morbidity and mortality, which was exacerbated during the COVID-19 pandemic. Most education and counseling activities were stopped during the lockdown, and the GREAT4Diabetes WhatsApp Chatbot was innovated to fill this gap.ObjectiveThis study aimed to evaluate the implementation of the chatbot in Cape Town, South Africa, between May and October 2021.MethodsConvergent mixed methods were used to evaluate the implementation outcomes: acceptability, adoption, appropriateness, feasibility, fidelity, cost, coverage, effects, and sustainability. Quantitative data were derived from the chatbot and analyzed using the SPSS. Qualitative data were collected from key informants and analyzed using the framework method assisted by Atlas-ti. The chatbot provided users with 16 voice messages and graphics in English, Afrikaans, or Xhosa. Messages focused on COVID-19 infection and self-management of type 2 diabetes.ResultsThe chatbot was adopted by the Metro Health Services to assist people with diabetes who had restricted health care during the lockdown and were at a higher risk of hospitalization and death from COVID-19 infection. The chatbot was disseminated via health care workers in primary care facilities and local nonprofit organizations and via local media and television. Two technical glitches interrupted the dissemination but did not substantially affect user behavior. Minor changes were made to the chatbot to improve its utility. Many patients had access to smartphones and were able to use the chatbot via WhatsApp. Overall, 8158 people connected with the chatbot and 4577 (56.1%) proceeded to listen to the messages, with 12.56% (575/4577) of them listening to all 16 messages, mostly within 32 days. The incremental setup costs were ZAR 255,000 (US $16,876) and operational costs over 6 months were ZAR 462,473 (US $30,607). More than 90% of the users who listened to each message found them useful. Of the 533 who completed the whole program, 351 (71.1%) said they changed their self-management a lot and 87.6% (369/421) were more confident. Most users changed their lifestyles in terms of diet (315/414, 76.1%) and physical activity (222/414, 53.6%). Health care workers also saw benefits to patients and recommended that the service continues. Sustainability of the chatbot will depend on the future policy of the provincial Department of Health toward mobile health and the willingness to contract with Aviro Health. There is the potential to go to scale and include other languages and chronic conditions.ConclusionsThe chatbot shows great potential to complement traditional health care approaches for people with diabetes and assist with more comprehensive patient education. Further research is needed to fully explore the patient’s experience of the chatbot and evaluate its effectiveness in our context.

The Role and Impact of Mediating Factors in Grameenphone’s Success: A Study on Bangladesh Perspective

Grameenphone attains its leading position by continuously offering better services to its existing and potential customers. This study also explains how the mediating factors of Grameenphone like network coverage, internet service, information service, emergency balance, 4G service, voice call, voice message, my zone facilities, mobile banking facilities, SMS & MMS service, customer care service, CSR activities, advertisement & promotion, variety of package, call rate, quality of telecommunication service, video call service, responsiveness to the customer, hotline service 121, available retail store & physical product, internet service, healthcare service, GP offers, etc which influence to the success of Grameenphone. The article is devoted to the study of a quick overview of the subscribers’ demographics for Grameenphone in Bangladesh. The paper seeks to explore the role and impact of mediating factors, which in turn, lead to the success of the grameenphone. The main purpose of this study is to substantiate the position of the relationship between mediating factors and customer satisfaction that helps to divert potential customers to loyal customers and the ultimate objectives to achieve the company’s mission. A business can gain the trust and loyalty of its customers as well as long-lasting, successful business relationships if it can recognize and meet true customer expectations.

AN EXAMPLE OF CHATBOT IN THE FIELD OF EDUCATION IN THE REPUBLIC OF SERBIA

Students can retrieve information from the website or use the services of an existing information system (provided the information system is on the internet). However, we know from experience that searching a website is time-consuming or even inaccurate, and the functionality of the information system is limited. Chatbot makes it more natural, efficient and faster. Chatbot can understand natural language, i.e. written text and voice messages. It gives precise answers and performs all actions intended by the website and / or the information system. But the website and the information system do not have the richness of language that the chatbot has. You have to log in to the information system and know how to use it, and each new version requires new learning. If you know how Viber or FB Messenger work, you probably know how to use chatbot. The services provided by chatbot are visible on communication platforms used by a large number of users, and thus the quality of these services is better. Due to the use of chats, the human resources of the educational institution are redirected/retrained to more responsible and creative jobs because the workload has been relieved. The paper presents a chatbot called ADA, developed at the Belgrade Business and Arts Academy of Applied Studies (BAPUSS), and shows basic usage statistics. It also points out the importance of chatbots as a communication channel in educational institutions.

Possibility of interference in the right to secret of correspondence as a method of obtaining evidence during martime

The article is devoted to the study of the possibility of interfering with the right to secrecy of correspondence in order to obtain information that can be used in the future as evidence of war crimes and crimes against humanity.Today, given the martial law in Ukraine and the huge number of Russian war crimes in Ukraine, this topic is extremely relevant. After all, the interception of telephone conversations and the publication of correspondence between the Russian occupiers testify to the brutal and cynical crimes of the Russian Federation against the Ukrainian people, for which all those responsible must be punished. The grounds for restricting the right to secrecy of correspondence in martial law, the conditions for interfering with the secrecy of correspondence during the war are given. The compliance of the norms of the national legislation
 on the restriction of the right to secrecy of correspondence with the norms of international law is analyzed. The comparative characteristic is carried out with the right to secrecy of correspondence in peacetime, when such actions are subject to criminal liability, and in martial law. The article provides examples of telephone conversations and messages of the occupiers, information from which should be used in international courts to bring to justice those guilty of war crimes against Ukraine. Decisions and clarifications of national and international judicial bodies on the requirements for documents and data that can be used as evidence of war crimes, including e-mails, text and voice messages, telephone conversations, etc., have been studied. The telephone conversations and reports of Russian aggressors on their admissibility for presentation to international courts as evidence of their military aggression against Ukraine are analyzed. Certain shortcomings of the national legislation on this issue have been identified and suggestions for their improvement have been made. In general, the expediency of the possibility of interfering with the right to secrecy of correspondence to obtain evidence during martial law is argued. It is stated that such actions are not mandatory, but may be necessary during war or other public danger that threatens the life of the nation.

Facial Recognition System with Voice Message Enhancement

Face recognition system has always been a crucial human-computer interaction tool in most security systems, access control, video surveillance, commercial areas, and networks like Facebook as well. After development in the area of artificial intelligence and growing security concerns, face recognition system has attracted attention by providing maximum efficiency in face detection and recognition. Face recognition is considered to be a biometric artificial intelligence-based application. Face recognition is the process of recognizing the face of a person by a vision system. As an extension to the existing face recognition system in this model, a new feature is added i.e., a voice message as output that is produced for each face recognized. The voice message could be anything like a simple hello or even a complex sentence. Keywords: Artificial intelligence, Face recognition, voice message, OpenCV, pyttsx.

Sensor-Based Prototype of a Smart Assistant for Visually Impaired People-Preliminary Results.

People with visual impairment are the second largest affected category with limited access to assistive products. A complete, portable, and affordable smart assistant for helping visually impaired people to navigate indoors, outdoors, and interact with the environment is presented in this paper. The prototype of the smart assistant consists of a smart cane and a central unit; communication between user and the assistant is carried out through voice messages, making the system suitable for any user, regardless of their IT skills. The assistant is equipped with GPS, electronic compass, Wi-Fi, ultrasonic sensors, an optical sensor, and an RFID reader, to help the user navigate safely. Navigation functionalities work offline, which is especially important in areas where Internet coverage is weak or missing altogether. Physical condition monitoring, medication, shopping, and weather information, facilitate the interaction between the user and the environment, supporting daily activities. The proposed system uses different components for navigation, provides independent navigation systems for indoors and outdoors, both day and night, regardless of weather conditions. Preliminary tests provide encouraging results, indicating that the prototype has the potential to help visually impaired people to achieve a high level of independence in daily activities.