Contrastive analysis of politeness strategies in refusal speech acts: A study of Sundanese and Batak language by Rossy Halimatun Rosyidah

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Move Analysis of Awards Acceptance Speeches in The 22nd Vodafone Ghana Music Awards Ceremony by John York-Williams, Joseph Benjamin Archibald Afful, Emmanuel Mensah Bonsu

Subjects: “…Acceptance of awards speech…”
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Publisher Correction: Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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A SPEECH ACT ANALYSIS OF CONDOLENCE UTTERANCES FOR THE DEATH OF QUEEN ELIZABETH II IN FACEBOOK USERS by Putri Mentari, Susiati Susiati

“… The study focused on investigating speech acts and condolence strategies expressed by Facebook users in BBC posts. …”
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Malocclusion and Its Relationship with Sound Speech Disorders in Deciduous and Mixed Dentition: A Scoping Review by Mariangela Aprile, Alessio Verdecchia, Claudia Dettori, Enrico Spinas

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LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease by Cynthia Fox, Georg Ebersbach, Lorraine Ramig, Shimon Sapir

“…The LSVT (Lee Silverman Voice Treatment) Programs for individuals with PD have been developed and researched over the past 20 years beginning with a focus on the speech motor system (LSVT LOUD) and more recently have been extended to address limb motor systems (LSVT BIG). …”
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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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Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask by Jie Yang, Yachun Tang

“…A deep learning speech enhancement algorithm based on dynamic hybrid feature and adaptive mask and DSP implementation is proposed in this paper, which solves the problem of feature loss and improves the performance of speech enhancement. …”
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Move Analysis of Awards Acceptance Speeches in The 22nd Vodafone Ghana Music Awards Ceremony by John York-Williams, Joseph Benjamin Archibald Afful, Emmanuel Mensah Bonsu

Subjects: “…Acceptance of awards speech…”
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New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition by Sanaz Seyedin, Seyed Mohammad Ahadi, Saeed Gazor

“…This paper presents a novel noise-robust feature extraction method for speech recognition using the robust perceptual minimum variance distortionless response (MVDR) spectrum of temporally filtered autocorrelation sequence. …”
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A scoping review of interventions to supplement spoken communication for children with limited speech or language skills. by Maria Antonella Costantino, Maurizio Bonati

“…<h4>Background</h4>Augmentative and Alternative Communication (AAC) is used for treating children with severe disorders of speech-language production and/or comprehension. Various strategies are used, but research and debate on their efficacy have remained limited to a specific area and have rarely reached the general medical community.…”
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On the Relationship between Speech Intelligibility and Fluency Indicators among English-Speaking Individuals with Parkinson’s Diseases by Chin-Ting Liu, Shiao-Wei Chu, Yuan-Shan Chen

“…The purpose of the study is to investigate how much of variance in Parkinson’s Disease (PD) individuals’ speech intelligibility could be predicted by seven speech fluency indicators (i.e., repetition, omission, distortion, correction, unfilled pauses, filled pauses, and speaking rate). …”
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Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach by Anton Batliner, Dino Seppi, Stefan Steidl, Björn Schuller

“…We deal with the topic of segmenting emotion-related (emotional/affective) episodes into adequate units for analysis and automatic processing/classification—a topic that has not been addressed adequately so far. We concentrate on speech and illustrate promising approaches by using a database with children's emotional speech. …”
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Retracted: Optimization Simulation of English Speech Recognition Accuracy Based on Improved Ant Colony Algorithm by null Complexity

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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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Lee Silverman Voice Treatment to Improve Speech in Parkinson’s Disease: A Systemic Review and Meta-Analysis by Tingting Pu, Min Huang, Xiangyu Kong, Meng Wang, Xiangling Chen, Xixi Feng, Changyou Wei, Xiechuan Weng, Fan Xu

“…Background. Speech changes occur in the early stages of Parkinson’s disease (PD) and cause communication difficulties, leading to social isolation. …”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…This network has a good effect on both object labeling and speech recognition. For the problem of extracting emotion features of whole-sentence speech, we propose an attention mechanism-based emotion recognition algorithm for variable-length speech and design a spatiotemporal attention module for the speech emotion algorithm and a convolutional channel attention module for the CNN network to reduce the contribution of the spatiotemporal data of the speech emotion algorithm and the unimportant parts of the CNN convolutional channel feature data in the subsequent recognition by the attention mechanism. …”
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Retracted: A Russian Continuous Speech Recognition System Based on the DTW Algorithm under Artificial Intelligence by Journal of Robotics

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