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33 results for “Voice Data”
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Research ArticleOpen accessPhrase in the titleAn Efficient Approach to Hide Compressed Voice Data in Arabic Text using Kashida and "La"Sabeeka M. Al-Oun, Jehad Q. Odeh AlnihoudIn this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately, ignoring the original Kashida in the cover text may affect the results significantly and produce inaccurate results in the … …Journal of Computer Science, Vol. 13, Issue 3 · 28 Mar 2017 · 7,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVERBO: Voice Emotion Recognition dataBase in Portuguese LanguageJosé R. Torres Neto, Geraldo P.R. Filho, Leandro Y. Mano, Jó UeyamaThe recognition of human emotional traits based on Affective Computing is being carried out by computational systems that are able to interpret and react intelligently to the context of the user. Speech Emotion Recognition systems are capable of transforming speech signal data into information related to the feelings of individuals in specific situations. However, the emotional expression of a human … …Journal of Computer Science, Vol. 14, Issue 11 · 2 Nov 2018 · 9,453 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultipath Adaptive Packet Dispersion for Voice ApplicationsJ. Faritha Banu, V. RamachandranProblem statement: The quality of Voice over IP applications is decided by the main factors like network capacity and technologies such as codec type, Packet Loss Concealment (PLC) and Forward Error Correction (FEC). Approach: In MPLS networks multiple Label Switched Paths (LSP) are established between MPLS ingress and egress nodes to enhance the network performance and QoS for subscribers. To … …Journal of Computer Science, Vol. 8, Issue 4 · 27 Jan 2012 · 7,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarly Diagnosis of Parkinson's Disease Through Voice Analysis and Machine LearningAmrita Naik, Mohd Sahil Khan, Akhilesh Manoj Saraf et al.Parkinson’s Disease (PD) is a progressive neurological disorder, and its prevalence has increased considerably in recent years. Early and accurate diagnosis plays a crucial role in effective treatment, but identifying the disease in its early stages remains challenging, especially for non-specialist clinicians. This study presents a predictive analytics framework for detecting Parkinson's disease using voice-based features. To improve the diversity … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 637 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisDiriba Gichile Rundasa, Arulmurugan Ramu, Teshome Debushe Adugna et al.Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the language. The purpose of a Texttext-to-speech synthesizer is to generate comprehensible, natural signalling human voice from text transcriptions. Despite the wide range of potential applications for Text-to-speech systems, … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 7,346 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Pathological Voices by Human Factor Cepstral Coefficients (HFCC)Rabeh Hamdi, Salah Hajji, Adnene CherifHuman speech is a means of communication that is very important in our daily lives. It is characterized by its great ability to transmit our ideas, our emotions, our personality etc. So, any alteration of the voice can prevent the person from exercising his professional and daily life naturally. It is for these reasons that it is very necessary to … …Journal of Computer Science, Vol. 16, Issue 8 · 7 Aug 2020 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech to Text in Indonesian Personal AssistantIntan Sari Areni, Ayu Dhiya Mufidah, Indrabayu et al.Short Message Service (SMS) is one of the most often used features on smartphones. Delivery of SMS messages while driving can interrupt driver’s concentrations that may lead to an accident. Hence, Speech Recognition system in SMS message activity is required. In this research, the Speech Recognition system is able to convert speech as an Indonesian query in making messages, entering … …Journal of Computer Science, Vol. 15, Issue 6 · 19 Jun 2019 · 8,378 accessesView PDFCite
Review ArticleOpen accessIn the abstractMedical Service of RobotsRelly Victoria Virgil PetrescuToday, robots have not only penetrated to create microchips in electronics but also in medicine, where it helps to perform difficult operations, especially where precision is needed and the size is small and any human error could be fatal to the patient. Robots assist the doctor in heart, brain, kidney operations, not to mention bone implants and repair of damaged … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 24 Apr 2019 · 7,542 accessesView PDFCite