Audio Messages Research Articles

Smart Shoes for the Visually Impaired: Integrating Google Assistant and Google Maps

The research paper has been written to help visually impaired persons. As it was observed that while commuting there were many barriers and obstacles which they need to bear. Individually, they face significant risks while moving from one location to another. It is really difficult for them to locate the hurdle instantly in their path, as they are unaware of the barriers in front of them. Based on the previous researches it was seen that visually impaired persons are more prone to accidents, Unintentional injury, mishaps, injuries, and crashes during their journey (Legood et al., 2002; Felson at al. 1989; Arfken et al., 1994; Ivers et al., 1998; Lord, 2006; Glynn at el., 1992; Roberts & Roberts, 1995). Till now, visually impaired persons are using white cane; which help them scan for obstacles and orientation marks. The cane will also inform the passerby to go slow and take appropriate steps to help them, while they move or walk. In this paper, the authors have tried to build an electronically aided shoe for the help and provide an ease for visually impaired persons. The proposed framework for the e-shoes will identify objects or impediments up to a specific distance and deliver an audio or vibrator alarm message to the receiver. This will help blind persons to recognize objects on their path instantly through an alarm and will prevent any accidents

Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study

Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver’s attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the messages presented in variable message signs (VMS), particularly, when they find themselves in a monotonous driving situation. A second aim was to test whether the addition of auditory messages would also produce an indirect effect on the driver’s vigilance, improving performance on other driving subtasks not related to the message processing. Forty-three volunteers participated in a driving simulator study. They completed two tasks: (a) a VMS task, where they had to regain manual control of the car if the VMS message was critical, and (b) a car-following task, where they had to pay attention to the preceding car to respond to occasional brake events. Behavioral and EEG data were registered. Overall, results indicated that the addition of audio messages helped drivers process VMS information more effectively and maintain a higher level of vigilance throughout the driving time. These findings would provide useful information for the development of partially automated vehicles, as their design must guarantee that the driver remains attentive enough to assume control when necessary.

An Assessment of the Acceptability of Cervical Cancer Education Intervention Materials Among Healthcare Providers in Ghana.

Cervical cancer is currently the second leading cause of cancer death among women in Ghana. Previous studies have identified lack of awareness, lack of perceived susceptibility, and stigmatizing beliefs as significant sociocultural barriers to cervical cancer screening among Ghanaian women. The purpose of this study was to assess the acceptability of evidence and theory-based, culturally relevant cervical cancer education intervention materials among Ghanaian healthcare providers. Central-location intercept questionnaires were completed by providers (n = 60) in the Greater Accra region of Ghana. Providers reviewed a poster, an audio message, and a brief educational video. The variables assessed included the reaction to the materials, the ability of the materials to attract the attention of the intended audience, the ability of the materials to communicate the main point of the cancer education message, and the reaction to cultural characteristics of the materials. The mean age of the providers (n = 60) was 30.6years, and the majority (70.8%) were females. Most of the providers had a positive general reaction to the poster, audio message, and video. The majority found the materials to be motivating. Most of the providers found the information in the materials to be attention-getting, interesting, useful, direct/to the point, and related to someone like them. Very few providers (5%) indicated that they were confused by the images or messages used in the materials. The culturally relevant cervical cancer education materials were acceptable to Ghanaian healthcare providers. These materials may be effective in shared decision-making for cervical cancer screening.

EYE-BLINK DETECTION ASSISTIVE SYSTEM FOR PARALYZED PATIENT

Paralysis is defined as the complete loss of muscle function in any part of the body. It occurs when there is a problem with the passage of messages between the muscles and the brain. Some paralyzed people cannot move even a single part of the body other than their eyes. Hence, the main aim of this project is to design a real time interactive system that can assist the paralyzed to control appliances such as lights, fans or by playing pre-recorded audio messages, through a predefined number of eye blinks. Image processing techniques have been implemented in order to detect the eye blinks. In our system, the face tracking is accomplished by using a set of trained Haar cascade classifier, and a template matching technique is employed to track the eye. Initially, the involuntary blinks of the paralyzed person are used to locate the patients eyes by finding the number of connected components in a frame.

Trinal Optics for Blind People Using Smart Object Recognition for Navigation Through Voice Assistant

The project Trinal Optics is a wearable device, it will be able to make blind people to live their lives more independently. The device is combination of hardware, software and Technologies such as Camera, Arduino Uno, Voice Assistant, Bluetooth Headset/Earphone, Ultrasonic Sensor, Object Detection, and Distance Analysis. These components help user to understand the environment better. The Camera is used to capture the image for object detection and then Voice assistant is conveying audio message to the user along with the Distance analysis of object, Arduino Uno is used to integrate hardware and software, navigation is used to guide the users to its destination Ultrasonic sensor is used to make the beep sound if there is any object in front of the user. Trinal Optics looks forward to help blind individuals to have a bit easy life with the help of technology. Keywords: Arduino Uno, Camera, Bluetooth Earphone, Voice Assistant, Object Detection, Distances Analysis, Ultrasonic Sensor.

Media use for Soygari: A case study of women’s behaviour to nutrition-specific information in south west Nigeria

Gari is the most popular form in which cassava is consumed in most households in Nigeria. However, gari is deficient in most food nutrients and its excessive consumption without supplementation leads to malnutrition. Soygari (Gari fortified with soyabean) could help reduce malnutrition if positive behaviour is elicited through appropriate Communication Media (CM). However, empirical evidence on suitable CM mix to elicit positive behaviour towards Soygari nutrition is scarce. Therefore, CM mix for behavioural change in Soygari nutrition information dissemination among rural households in southwestern Nigeria was investigated. This study evaluated the effect of consistent dosage of Soygari information on rural women’s behaviour in South Western Nigeria. A quasi-experimental research design was used. Data were collected from 224 women in soybean-producing households in the region through a systematic sampling procedure. This study trained women in Soygari information for twelve weeks using podcasts (audio and video messages), and interactive (demonstrations and visual teaching methods). The study targeted change in women’s knowledge, attitude, and utilization. Empirical analyses are described in tables and percentages, while parametric tests were used to analyze a priori hypotheses. The podcast method influenced higher change in Knowledge (Δx ̅ = 2.68) and attitude (Δx ̅=5.94) of women while a higher change in utilization (Δx ̅= 7.32) was found among women exposed to the interactive method. A significant difference existed in the utilization (T = 4.018; p < 0.05) of Soygari among women exposed to the podcast and interactive methods. Both media types effectively promoted positive behavioural change towards Soygari nutrition among rural households in South western Nigeria. Audio and practical demonstration mix were most suitable. An interactive method of communication is best if the target of nutrition information is for immediate household utilization. Multiple dosages of information can be a motivation to change an already existing human behaviour even when distractions exist. Key words: Change in behaviour, Soygari, Nutrition-Specific diet, media use, Women

Automatic Classification of Stegano files using the Features of Natural Language Processing and Hybrid Deep Learning Algorithms

The corporate sector has adopted communication as its principal medium due to the improvements of the digital era. In the past, in-person meetings, purchases, settlements, business talks, and profile-taking were all done. However, everything has gone digital in the present period. Over the last several years, there has been a noticeable exponential rise in the amount of complicated texts and documents that require a deeper comprehension of machine learning techniques in order to recognize languages in a variety of applications. Outstanding results in the processing of natural languages have been obtained by a number of Artificial Intelligent techniques. A key component of machine learning and deep learning techniques' efficacy is their capacity to understand intricate models and non-linear connections in data. Choosing the right architecture, frameworks, and algorithms for classifying input, like text files, managing audio and video files, however, is a difficult undertaking. The proposed work's goal is to identify text, audio messages, chatbots, and smart records using natural language processing. Using a hybrid deep learning approach, text, voice, and video recordings are used as inputs to be classified. Problem Synopsis: With contact becoming more and more important to business, companies have created advanced NLP programs. Through chatbots, digital records, phone conversations, and messages, these NLP swiftly fulfil human desires. Customer preferences, desires, and demands have been found to be more strongly impacted by the ease of communication and connection. Today's service providers use chatbots, digital records, messaging apps, email, and phone conversations as their main methods of communication for almost all of their trade channels of preference, client queries, and transactions. Proposed Method: The study shows how input stegano file is processed automatically based on user reactions, text message replies, and audio record identification during communications using text content, voice messages, and audio using the features of Natural Language Processing and hybrid Deep Learning Algorithms

Automatic Classification of Stegano files using the features of Natural Language Processing and hybrid Deep Learning Algorithms

The corporate sector has adopted communication as its principal medium due to the improvements of the digital era. In the past, in-person meetings, purchases, settlements, business talks, and profile-taking were all done. However, everything has gone digital in the present period. Over the last several years, there has been a noticeable exponential rise in the amount of complicated texts and documents that require a deeper comprehension of machine learning techniques in order to recognize languages in a variety of applications. Outstanding results in the processing of natural languages have been obtained by a number of Artificial Intelligent techniques. A key component of machine learning and deep learning techniques' efficacy is their capacity to understand intricate models and non-linear connections in data. Choosing the right architecture, frameworks, and algorithms for classifying input, like text files, managing audio and video files, however, is a difficult undertaking. The proposed work's goal is to identify text, audio messages, chatbots, and smart records using natural language processing. Using a hybrid deep learning approach, text, voice, and video recordings are used as inputs to be classified. Problem Synopsis: With contact becoming more and more important to business, companies have created advanced NLP programs. Through chatbots, digital records, phone conversations, and messages, these NLP swiftly fulfil human desires. Customer preferences, desires, and demands have been found to be more strongly impacted by the ease of communication and connection. Today's service providers use chatbots, digital records, messaging apps, email, and phone conversations as their main methods of communication for almost all of their trade channels of preference, client queries, and transactions. Proposed Method: The study shows how input stegano file is processed automatically based on user reactions, text message replies, and audio record identification during communications using text content, voice messages, and audio using the features of Natural Language Processing and hybrid Deep Learning Algorithms

Perancangan Integrasi Sistem Enkripsi dan Steganografi untuk Pengamanan Data Suara Manusia Berbasis Web

Audio steganography on images is a method used to secretly hide audio messages in images. The Least Significant Bit (LSB) method is also combined with Advanced Encryption Standard (AES) to increase the security of confidential messages. Audio messages that you want to keep secret can be encrypted using Advanced Encryption Standard (AES) before being inserted into the image. Advanced Encryption Standard (AES) can be combined with the use of Rivest Shamir Adleman (RSA) on Advanced Encryption Standard (AES) keys. Rivest Shamir Adleman (RSA) is used to increase the security of Advanced Encryption Standard (AES) keys. The Advanced Encryption Standard (AES) key can be encrypted using Rivest Shamir Adleman (RSA) before being inserted into the image using the Least Significant Bit (LSB) Method, so that only recipients who have the Rivest Shamir Adleman (RSA) key are suitable for accessing the audio message. kept secret. The results of this processing can be measured from the PSNR (Peak-Signal-to-Noise Ratio) figure.

Ислам и война: Telegram-канал Р. Кадырова в период СВО

The relevance of the study is determined by the influence of the special military operation (SMO) on the transformation of political discourse on the Internet. The novelty of the research is due to the identi-fication of current trends in the proposed content in the modern Russian media space. The start of a special military operation (SMO/SVO) determined a new model of the political development of the Russian Federation, and also significantly influenced the political discourse of the heads of Russian regions. The political discourse, in turn, forms social and political views at the grassroots level. This paper examines the religious and political discourse of the Head of the Chechen Republic Ramzan Kadyrov in the Telegram messenger during the first year of the SMO. The study is focused on identify-ing the specifics of the formation of religious and political content in social networks in wartime. The work is based on the methods of classical and digital sociology, as well as discursive analysis of text messages. 2035 publications by R. Kadyrov on the Telegram page from February 24, 2022 to February 23, 2023, including 1406 videos, 165 photos/print-screens, 20 audio messages and 3 docs-attachments were analyzed using a continuous sample. Finally, conclusions are drawn in relation to some change in Kadyrov’s public discourse for the past year. On his personal page in Telegram, religious themes with an emphasis on traditional values, the image of the enemy and the legitimation of armed struggle (ji-had) acquire an exceptional sound in the conditions of the SMO. In today's political realities, a reli-gious resource and an open armed conflict successfully complement each other. At the same time, the head of the Chechen Republic demonstrates a claim to religious authority both on a Russian and global scale: he openly opposes Western ideology not only on the battlefield, but also in the religious content, actively participates in the sacralization of the SMO and its jihadization. The obtained conclusions ex-pand the knowledge about the potential of a religious resource in open conflicts and raise the question of the prospects for its use by other religious communities.

Assessing the influence of the health system on access to cervical cancer prevention, screening, and treatment services at public health centers in Addis Ababa, Ethiopia.

Cervical cancer is the second leading cause of cancer death among Ethiopian women. This study aimed to assess the influence of the health system on access to cervical cancer prevention, screening, and treatment services at public health centers in Addis Ababa, Ethiopia. This study used a cross-sectional survey design and collected data from 51 randomly selected public health centers in Addis Ababa. Open Data Kit was used to administer a semi-structured questionnaire on Android tablets, and SPSS version 26 was used to analyze the descriptive data. In the study conducted at 51 health centers, cervical cancer prevention and control services achieved 61% HPV vaccination for girls, 79% for cervical cancer awareness messages, 80% for precancer lesion treatment, and 71% for cervical screening of women. All health centers were performing cervical screening mostly through visual inspection with acetic acid due to the inconsistent availability of HPV DNA tests and the lack of Pap smear tests. In 94% of health centers, adequate human resources were available. However, only 78% of nurses, 75% of midwives, 35% of health officers, and 49% of health extension workers received cervical cancer training in the 24 months preceding the study. Women had provider choices in only 65% of health centers, and 86% of the centers lacked electronic health records. In 41% of the health centers, the waiting time was 30 minutes or longer. About 88% and 90% of the facilities lacked audio and video cervical cancer messages, respectively. This study revealed that the annual cervical cancer screening achievement was on track to fulfill the WHO's 90-70-90 targets by 2030. We recommend that decision-makers prioritize increasing HPV vaccination rates, enhancing messaging, reducing wait times, and implementing electronic health records to improve access to cervical cancer services in Addis Ababa.

Improving road safety at horizontal curves using V2I speed warning messages

Introduction: According to the Federal Highway Administration, a quarter of fatal collisions has occurred at horizontal curves. The average collision rate at horizontal curves was found to be three times higher than other types of highway segments. The lack of compliance with the speed limit and driver-related factors are among the main contributing factors to those collisions. Vehicle to Infrastructure (V2I) communications can address these limitations by providing drivers with valuable in-vehicle warning messages based on operational and safety data. There is limited effort investigating the impact of different types of V2I warning messages at horizontal curves and among different profiles of drivers. This study aims to thoroughly examine drivers’ behavior and compliance with different V2I warning messages when approaching horizontal curves. Methods: A driving simulator experiment and self-reported survey were conducted. Three main hypotheses were analyzed in this study. First, whether supplying drivers with in-vehicle V2I warning messages will positively affect drivers’ behavior at horizontal curves compared to the standard road signs. Second, whether there will be a significant difference in drivers’ behavior when receiving text and audio V2I warning messages. Third, whether seniors and female drivers will comply more with speed limit advisory provided through V2I message than younger and male drivers. Results: The Analysis of Covariance confirmed the first two hypotheses. Two main measures of drivers’ behavior found to be lower in the V2I communication scenarios compared to the base one. The audio warning message was found to be more promising in increasing drivers’ compliance with speed limit advisory when approaching the curves. Analyzing the third hypothesis revealed that younger and male drivers had higher curve initiation speed compared to females and seniors. Practical Applications: The findings of this study can be used by transportation researchers, authorities, and car manufacturers to improve the effectiveness of in-vehicle V2I warning messages among different profiles of drivers.

A study on how to improve the accuracy of auto error correction from voice to text

Voice recognition application has been widely used in peoples daily lives. Usually, if people find it inconvenient to directly play the audio in public, or it is too noisy for them to listen to an audio message, they would probably use the voice recognition application in their mobile devices to translate the voice into text, so that they can understand the message clearly. However, there are still various errors and problems occurring during the usage of this common application, for instance, it can be hard sometimes to translate the sound into words correctly. This usually happens when the speaker speaks too fast and pronounces unclearly. Besides, some other factors, such as environmental noise, transmission channel quality, and the radio equipment, would also cause this problem. This paper mainly analyzes the causes of the inaccurate translation problem and some potential improvements to make this function more perfect. In conclusion, to solve this problem, the parity check matrix is a good way, since it can check whether the digits behind each word are still correct. After doing so, the digits will be changed into the correct words syntactically. However, even though the words are syntactically correct after applying the parity check matrix, they might not be semantically correct. Therefore, Levenshtin distance and Latent Semantic Analysis can be used to analyze the hidden meanings of words and sentences, so as to find the best suitable words to change.

Validation of Mobile Messages for an mHealth Intervention for Smokeless Tobacco Cessation in India.

With the growth in use of mobile messages for behaviour change, the need to incorporate personal needs and cultural characteristics of target users has been promoted. The study aimed to describe the findings of content validation of mobile messages designed to promote smokeless tobacco cessation in primary care. This study used a concurrent mixed-method approach with 13 patients who were tobacco users at urban primary care clinics. The clarity and appeal of 32 messages were rated on a Likert scale from 1 to 10. A mean clarity and appeal score per message was generated. A 5-item discussion guide was used for in-depth interviews and data was analysed using framework analysis. Participants found the content of the messages useful, and preferred shorter and audio formatted messages. The clarity scores for the messages ranged from 7.9 to 9.4 with an average score of 8.7 (SD 0.5). The appeal scores ranged from 7.3 to 9.2, with an average score of 8.5 (SD 0.6). Twenty-six from a total of 32 messages were found appropriate and finalised for use. This methodology can be used when developing contextually relevant mobile message interventions in other low resource settings.

Религиозное позиционирование Главы Чеченской Республики в медиа-пространстве (по материалам исследования методами классической и цифровой социологии публикаций в Telegram-канале)

In the age of information warfare, the media activity of political leaders becomes an important man-agement tool. The issue of spiritual and moral positioning of political leaders acquires additional rel-evance in the context of a special military operation (SMO) and the ideological confrontation of its main participants. The study is focused on identifying the specifics of the religious positioning of Ramzan Kadyrov, Head of the Chechen Republic, in Telegram social media platform in the SMO context. The work is based on the methods of classical and digital sociology, as well as on the dis-course analysis of text messages. 2035 publications by R. Kadyrov on his Telegram page from Feb-ruary 24, 2022 to February 23, 2023, including 1406 videos, 165 photos/print-screens, 20 audio mes-sages and 3 docs-attachments were analyzed using unselected sample method. The analysis revealed that Islam remains one of the most significant subjects for the head of the Chechen Republic over the specified time period acquiring an exceptional meaning in the conditions of the SMO. In a situa-tion of ideological confrontation with the West and the focus of the leadership of the Russian Feder-ation on traditional values, there appear new opportunities for realizing Islamic interests. At the same time, the question of the ultimate potential of their implementation in the legal system of a secular state inevitably arises. Further correlation of Islamic and national-state content in the Che-chen case will be determined by current trends in the political development.

The linguistic fetish in multilingual advertising: an audio message translated into seven foreign languages

ABSTRACT Language is often used for symbolic purposes in international advertising. Companies make strategic use of foreign language in their advertising campaigns on the basis that the characteristics given by consumers are transferred to the product being advertised. To study this effect, an experimental study was conducted, where 405 respondents were asked to evaluate the advertising message in a foreign language through a series of characteristics, analyzing the type of associations evoked by each language. To achieve this goal, a fictitious advertising message was designed and translated into seven different languages. The results showed that different languages evoked different characteristics.

Anonymity in Law, Criminalistics and Forensic Examination

The problem of establishing the identity of the anonymous author has always been a pressing task of criminalistics, forensic examination, literary and art studies. Since the end of the 19th century forensic scientists have been developing technical and tactical methods and means to recognize a person who is the author or at the same time author and performer of handwritten and typed texts, drawings, and audio messages. At present tactical, technical, and forensic support for the identification of the unknown author of computer materials, telecommunication messages and mailings are actively developing. Also, methods for applying artificial intelligence technologies during the investigative activities of this particular kind are being developed. The present article is devoted to an overview of the history, current state and prospects for the development of methods for obtaining information about a person from anonymous text and speech materials.

Applying software‐defined ambient intelligence techniques for cognitive and emotional awareness in the Internet of Things

SummarySmart “discrete” technologies are taking over everyday activities with an intended shift towards complete automation. With this, ambient intelligence (AmI) has come under the limelight, to make these routines subtle and automated, enabled through the widespread adoption of the ubiquitous and pervasive Internet of Things (IoT). AmI is context‐driven depending largely on user input through various interfaces, which is nothing but the interplay between IoT and artificial intelligence (AI). Despite extensive incorporation of personal digital assistants and smart home systems, AI is not yet capable of accurately interpreting and responding to human emotions. This paper aims to present one such application to gauge the emotional and cognitive state of the user and respond appropriately, be it ambient lighting or an emergency SOS. The proposed model extracts network packets to work with audio messages on the real‐time transport protocol (RTP) layer and presents a lightweight multilayer perceptron (MLP)‐based speech emotion recognition (SER) model for emotional analysis with an accuracy of 80.52%. It also features a simple confidence rating system for further optimization.

VISUAL MEDIA IN SOCIAL MEDIA APPLICATIONS: APPLYING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY TO THE PREFERENCES OF EMIRATI UNIVERSITY STUDENTS: A THEORETICAL APPROACH

The development of the use of means of communication at the present time in the transmission of electronic digital technology of written, audio and visual information that contains speech, sound, numbers, words, charts, music, films and colors, and man has become able to store information and deal with it through smart phone, computer and other multi-use means that allow the transfer of different types of audio and video messages in a secure and identical manner, so that they can be broadcast and received immediately by the recipient, who in turn interacts with them in terms of storing, viewing and disposing of them. The Unified Theory of Acceptance and Use of Technology (UTAUT) is relied upon to understand the mechanism of students' preference and adoption of social networking sites and applications. This theory explains how users accept and use technology based on four factors: performance expectation, effort expectation, social impact, and facilitation conditions. The main objective of this research is to identify the theoretical approaches and previous literature that deals with and indicates the preference of users of social networking sites and the Internet for visual media to access information through Internet applications and smart devices. This study attempts to answer the following question: How does the previous literature explain students' adoption and acceptance of using visual media through social networking applications? In order to explore the effectiveness of the previous results of studying these applications in terms of expected performance, expected effort, expected social impact, and available facilities. Based on the assumptions of the (UTAUT). The research problem is that there is a clear adoption of some applications to the exclusion of others by students in varying proportions, which gives them a set of multiple options to access information according to the technical capabilities available in each application, and this is what gives visual media great importance in terms of the strength of its influence as it contains multimedia. and interactive such as sound, image, text, and animation. This study attempts to answer the following question: How do students explain their adoption and acceptance of using online videos? This is in order to explore the effectiveness of these applications in terms of expected performance, expected effort, expected social impact, and available facilities

Telephonic intervention to combat non-adherence to oral iron-folic acid supplementation in pregnancy: A randomized controlled trial

IntroductionIron deficiency anemia is a public health problem globally attributing to high incidences of maternal and infant mortality and morbidity. Iron and folic acid supplementation (IFAS) is essential and provided free of cost by the public health sectors, however, a systematic review shows that the national-level adherence to oral Iron-Folic Acid Supplementation (IFAS) is less than half in pregnant women, and the significant obstacles to non-adherence are fear of side effects and forgetfulness. This trial was designed to mitigate the side effects and tackle forgetfulness with telephonic intervention. The objectives were to investigate the effectiveness of the telephonic intervention on oral IFAS adherence and hemoglobin and the reasons for non-adherence to oral IFAS, to find out the proportion of anemia in the study population, and to assess the effectiveness of the intervention on maternal and neonatal outcomes. MethodsHospital-based open-label multi-centric parallel-group randomized controlled trial, used block randomization and allocated treatment in a 1:1 ratio recruited 286 anemic pregnant women between 14 and 24 weeks of gestation with hemoglobin level < 11 g/dl having smartphones at a secondary hospital and a tertiary hospital in Eastern India. The experimental group received telephonic intervention for one month via structured text reminders, WhatsApp audio messages, and phone calls. The standard course of treatment was given to the control group. Results286 women (n1 =143, n2 =143) were randomized, 36 had attrition leaving 250 for analysis (n1 =123, n2 =127), the experimental group experienced a 44.9 % and the control group 13.8 % increase in adherence (P < 0.001). The leading reasons for non-adherence were forgetfulness (24 %), nausea and vomiting (23.2 %), and constipation (18.8 %). Hemoglobin level increased by 0.8 g/dl (P < 0.001) in the experimental group and 0.2 g/dl (P < 0.807) in the control group. ConclusionIn addition to improving adherence to oral IFAS, telephonic intervention mitigates side effects and enhances hemoglobin in anemic pregnant women. The increase in adherence was threefold in the experimental group compared to a marginal rise in the control group. This study recommends the implementation of a telephonic intervention to promote adherence to oral IFAS among anemic pregnant women.