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42 articles for “speech recognition”
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Research ArticleOpen accessEvery word in the titleDeep Learning Models for Speech Emotion RecognitionV.M. Praseetha, Sangil VadivelEmotions play a vital role in the efficient and natural human computer interaction. Recognizing human emotions from their speech is truly a challenging task when accuracy, robustness and latency are considered. With the recent advancements in deep learning now it is possible to get better accuracy, robustness and low latency for solving complex functions. In our experiment we have developed … …Journal of Computer Science, Vol. 14, Issue 11 · 26 Nov 2018 · 8,768 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,113 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeech 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
Research ArticleOpen accessIn the keywordsVERBO: 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 keywordsImproved Statistical Speech Segmentation Using Connectionist ApproachM. S. Salam, Dzulkifli Mohamad, S. H. SallehProblem statement: Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information proved to be able to give good match, less omission but lot of insertion. These insertion points dropped segmentation accuracy. Approach: This study proposed a fusion … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,680 accessesView PDFCite
Review ArticleOpen accessIn the keywordsSpeech Corpora for Different Languages: A Systematic ReviewVladimir Igorevich Fedoseev, Anton Aleksandrovich Konev, Natalia Sergeevna RepyukThe study of speech signals relies on carefully curated audio recordings, which are compiled and stored within specialized speech corpora. This article provides a comprehensive overview of such corpora across multiple languages, with particular focus on Russian, English, and Arabic. It notes that Russian and Arabic are represented by fewer corpora compared to the more extensive resources available for English. … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,781 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of Color-Blind Aid SystemRuki Harwahyu, Alfa Sheffildi Manaf, Bayu Sri Ananto et al.Color-blind is a physical defect causing patient loses the ability to recognize colors either particular or the whole of them. This disability is problematic in daily life, moreover in some specific areas that require carefulness eyesight. We propose a vision aid kit with improved user experience, such as finger pointer and voice command-and-response. Our work proofs the design and implementation … …Journal of Computer Science, Vol. 9, Issue 6 · 8 Jun 2013 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Effective System for Acute Spotting Aberration in the Speech of Abnormal Children Via Artificial Neural Network and Genetic AlgorithmC. R. Bharathi, V. ShanthiProblem statement: In real-world environment, speech signal processing plays a vital role among the research communities. A wide range of researches are carried out in this field for denoising, enhancement and more. Besides the other, stress management is important to identify the spot in which the stress has to be made. Approach: In this study, in order to provide proper … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Auditory Based Interaction Framework for Driver Assistance SystemDalbir SinghProblem statement: The rapid development of Driver Assistance System (DAS) provides drivers with radically enhanced information and functionality. The nature of the current DAS requires a complex human-machine interaction which is distracting and may increase the risk of road accidents. The interaction between the driver and DAS should aid the driving process without interfering with safety and ease of vehicle … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 7,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,442 accessesView PDFCite