EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

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Attitude, Practice and Preparedness of Dental Practitioners for Providing Oral Care to Patients with Speech and Hearing Impairment by Khansa Rafi, Syed Masood-ul- Hasan, Saba Tabassum

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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging dilakukan pada bahasa manusia, salah satunya adalah bahasa Madura. …”
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Command or petition? A speech act analysis of the parents' utterances in John 9:21cd by H Ito

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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…The detection and classification of emotional states in speech involves the analysis of audio signals and text transcriptions. …”
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BIJAKAWEB: Platform Berbasis Web Untuk Deteksi Hate Speech Pada Komentar Berita Bahasa Indonesia by Moh. Firdaus, Permata Nur Miftahur Rizki

“…This research has produced several significant contributions, including the availability of a new dataset for relevant research, a fine-tuned IndoBERT model accessible to the public on HuggingFace, and the development of the BijakaWeb platform using the full-stack Django framework, capable of real-time scraping and hate speech prediction. It is hoped that this research can assist news portals in moderating online news comments to combat hate speech and provide a model that can be used and adapted by other online news platforms to prevent the spread of hate speech on the internet.   …”
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Exploring benefits of speech and language therapy interventions for post-stroke aphasia rehabilitation: A qualitative study by Grace Larweh, Abena Asiedua Owusu Antwi, Ewurama Ampadu Owusu, Thomas Amatey Tagoe

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On Chinese Translations of Colloquial Russian Pragmatic Approximator Markers: Analyzing Speech Patterns from Literary Fiction by Xiang Yanan, Natalia V. Bogdanova-Beglarian

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Investigating the Role of Pragmatics in Cross-Cultural Communication: A Comparative Analysis of Speech Acts in Different Cultures by Rasha Hussan

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Getting out of the box! Keynote speech delivered during the Annual Montessori Europe Congress, Gdańsk, Poland, 2023 by André Roberfroid

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The significance of Jesus' utterance in relation to the Johannine Son of Man: a speech act analysis of John 9:35 by H. Ito

“… The purpose of my previous article was to continue to show the validity of a speech act approach and to develop it further in the reading of biblical texts. …”
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Cross-modal matching of monosyllabic and bisyllabic items varying in phonotactic probability and lexicality by Kauyumari Sanchez

Subjects: “…audio-visual speech perception…”
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Sistem Kontrol Perangkat Inframerah Menggunakan Speech Recognition dengan Spectrogram dan Convolutional Neural Network Berbasis Mikrokontroler by Irfan Muzakky Nurrizqy, Barlian Henryranu Prasetio, Rekyan Regasari Mardi Putri

“…Sistem ini juga dapat menjalankan proses speech recognition dengan waktu rata-rata 0,105 detik. …”
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Teknologi Text To Speech Menggunakan Amazon Polly Untuk Meningkatkan Kemampuan Membaca Pada Anak Dengan Gejala Disleksia by Karlina Diah Fatmawati, Imam Tahyudin

“…Penelitian ini bertujuan untuk meningkatkan kemampuan membaca menggunakan teknologi Text-To-Speech (TTS) dengan Machine Learning Amazon Polly yang ada pada AWS cloud. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…Machine learning (ML) techniques have shown promise in addressing these diagnostic challenges due to their higher efficiency and reduced error rates in analyzing complex, high-dimensional datasets, particularly those derived from speech signals. This study investigates 12 machine learning models—logistic regression (LR), support vector machine (SVM, linear/RBF), K-nearest neighbor (KNN), Naïve bayes (NB), decision tree (DT), random forest (RF), extra trees (ET), gradient boosting (GbBoost), extreme gradient boosting (XgBoost), adaboost, and multi-layer perceptron (MLP)—to develop a robust ML model capable of reliably identifying PD cases. …”
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Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

Subjects: “…hate speech…”
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Turn-taking in conversation uttered by Madurese community in Jember by Bambang Wibisono, Akhmad Haryono

Subjects: “…Madurese ethnic Politeness Speech turn taking…”
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Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model by Mahmoud M. Selim, Mohammed S. Assiri

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How I experienced tele-intervention: Qualitative insights from persons who stutter by Raadhiyah Hoosain, Shabnam Abdoola, Esedra Krüger, Bhavani Pillay

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