Search Results (59)

In the 2021 summit, ASEAN leaders acknowledged the ocean as an essential driver of economic recovery post pandemic, leading to the ASEAN Declaration on the Blue Economy for the responsible management of marine resources. As an ASEAN nation with a long history in the fishing sector, Indonesia then actively spread this concept across the region. The hegemony theory of Gramsci, which considers the interaction of a nation’s material resources, ideational influence, and institutional strategy, is further used to assess Indonesia’s leadership dynamics in the ASEAN to obtain consensus-based power. In this study, Joko Widodo’s speeches from 2023 are taken out and coded to determine the narrative that Indonesia constantly reinforces. With thematic analysis, speech data is processed to generate keywords such as unity, cooperation, and shared responsibilities, which Indonesia often uses to advance its regional agenda. By aligning member states’ interests with regional goals, Indonesian governance creates common ground for a blue economy and emphasizes how the sea is an integral source of opportunity for the region’s position as the Epicentrum Of Growth. Instead of pushing countries to agree with directives, Indonesia effectively advocates for regional agreements and ASEAN-led structures through the blue economy framework, with the ABEF emerging at its 2023 ASEAN chairmanship deliberations. Full article

The transformer-based deep learning approach represents the current state-of-the-art in machine translation (MT) research. Large-scale pretrained transformer models produce state-of-the-art performance across a wide range of MT tasks for many languages. However, such deep neural network (NN) models are often data-, compute-, space-, power-, and energy-hungry, typically requiring powerful GPUs or large-scale clusters to train and deploy. As a result, they are often regarded as “non-green” and “unsustainable” technologies. Distilling knowledge from large deep NN models (teachers) to smaller NN models (students) is a widely adopted sustainable development approach in MT as well as in broader areas of natural language processing (NLP), including speech, and image processing. However, distilling large pretrained models presents several challenges. First, increased training time and cost that scales with the volume of data used for training a student model. This could pose a challenge for translation service providers (TSPs), as they may have limited budgets for training. Moreover, CO₂ emissions generated during model training are typically proportional to the amount of data used, contributing to environmental harm. Second, when querying teacher models, including encoder–decoder models such as NLLB, the translations they produce for low-resource languages may be noisy or of low quality. This can undermine sequence-level knowledge distillation (SKD), as student models may inherit and reinforce errors from inaccurate labels. In this study, the teacher model’s confidence estimation is employed to filter those instances from the distilled training data for which the teacher exhibits low confidence. We tested our methods on a low-resource Urdu-to-English translation task operating within a constrained training budget in an industrial translation setting. Our findings show that confidence estimation-based filtering can significantly reduce the cost and CO₂ emissions associated with training a student model without drop in translation quality, making it a practical and environmentally sustainable solution for the TSPs. Full article

The integration of digital serious games into speech learning (rehabilitation) has demonstrated significant potential in enhancing accessibility and inclusivity for children with speech disabilities. This review of the state of the art examines the role of serious games, Artificial Intelligence (AI), and Natural Language Processing (NLP) in speech rehabilitation, with a particular focus on interaction modalities, engagement autonomy, and motivation. We have reviewed 45 selected studies. Our key findings show how intelligent tutoring systems, adaptive voice-based interfaces, and gamified speech interventions can empower children to engage in self-directed speech learning, reducing dependence on therapists and caregivers. The diversity of interaction modalities, including speech recognition, phoneme-based exercises, and multimodal feedback, demonstrates how AI and Assistive Technology (AT) can personalise learning experiences to accommodate diverse needs. Furthermore, the incorporation of gamification strategies, such as reward systems and adaptive difficulty levels, has been shown to enhance children’s motivation and long-term participation in speech rehabilitation. The gaps identified show that despite advancements, challenges remain in achieving universal accessibility, particularly regarding speech recognition accuracy, multilingual support, and accessibility for users with multiple disabilities. This review advocates for interdisciplinary collaboration across educational technology, special education, cognitive science, and human–computer interaction (HCI). Our work contributes to the ongoing discourse on lifelong inclusive education, reinforcing the potential of AI-driven serious games as transformative tools for bridging learning gaps and promoting speech rehabilitation beyond clinical environments. Full article

Cantonese Automatic Speech Recognition (ASR) is hindered by tonal complexity, acoustic diversity, and a lack of labelled data. This study proposes a phoneme-aware hierarchical augmentation framework that enhances performance without additional annotation. A Phoneme Substitution Matrix (PSM), built from Montreal Forced Aligner alignments and Tacotron-2 synthesis, injects adversarial phoneme variants into both transcripts and their aligned audio segments, enlarging pronunciation diversity. Concurrently, a semantic-aware SpecAugment scheme exploits wav2vec 2.0 attention heat maps and keyword boundaries to adaptively mask informative time–frequency regions; a reinforcement-learning controller tunes the masking schedule online, forcing the model to rely on a wider context. On the Common Voice Cantonese 50 h subset, the combined strategy reduces the character error rate (CER) from 26.17% to 16.88% with wav2vec 2.0 and from 38.83% to 23.55% with Zipformer. At 100 h, the CER further drops to 4.27% and 2.32%, yielding relative gains of 32–44%. Ablation studies confirm that phoneme-level and masking components provide complementary benefits. The framework offers a practical, model-independent path toward accurate ASR for Cantonese and other low-resource tonal languages. This paper presents an intelligent sensing-oriented modeling framework for speech signals, which is suitable for deployment on edge or embedded systems to process input from audio sensors (e.g., microphones) and shows promising potential for voice-interactive terminal applications. Full article

Zika virus (ZIKV), once considered a relatively benign pathogen, has emerged as a cause of severe neurological complications, including Guillain-Barrè Syndrome and encephalitis. This report presents the case of a 21-year-old Brazilian woman who initially presented with fever, rash, and arthralgia. Seven days later, she developed confusion, speech impairment, and gait disturbance. Following a tonic-clonic seizure, neurological examination revealed dysphonia, dysarthria and facial palsy, suggestive of brainstem involvement. ZIKV infection was detected by positive IgM serology and a plaque reduction neutralization test. The patient was treated with corticosteroids and antiepileptic drugs, leading to substantial clinical improvement, and discharge after 25 days of hospitalization. This case underscores the neuroinvasive potential of ZIKV and highlights the importance of early recognition and management of atypical neurological manifestations. It also reinforces the need to consider ZIKV in the differential diagnosis of encephalitis, particularly in endemic regions, and contributes to the growing understanding of ZIKV neurotropism and possible therapeutic approaches for severe presentations. Full article

Large Language Models (LLMs), particularly those enhanced through Reinforcement Learning from Human Feedback, such as ChatGPT, have opened up new possibilities for natural and open-ended spoken interaction in social robotics. However, these models are not inherently designed for embodied, multimodal contexts. This paper presents a user-centred approach to integrating an LLM into a humanoid robot, designed to engage in fluid, context-aware conversation with socially isolated older adults. We describe our system architecture, which combines real-time speech processing, layered memory summarisation, persona conditioning, and multilingual voice adaptation to support personalised, socially appropriate interactions. Through iterative development and evaluation, including in-home exploratory trials with older adults (n = 7) and a preliminary study with young adults (n = 43), we investigated the technical and experiential challenges of deploying LLMs in real-world human–robot dialogue. Our findings show that memory continuity, adaptive turn-taking, and culturally attuned voice design enhance user perceptions of trust, naturalness, and social presence. We also identify persistent limitations related to response latency, hallucinations, and expectation management. This work contributes design insights and architectural strategies for future LLM-integrated robots that aim to support meaningful, emotionally resonant companionship in socially assistive settings. Full article

Although both noise suppression and speech restoration are fundamental to speech enhancement, many Deep neural network (DNN)-based approaches tend to focus disproportionately on one, often overlooking the importance of their joint handling. In this study, we propose a dual-path architecture designed to balance noise suppression and speech restoration. The main path consists of an encoder and two specialized decoders: one dedicated to estimating the clean speech spectrum and the other to predicting a noise suppression mask. To reinforce the joint modeling of noise suppression and speech restoration, we introduce an auxiliary refinement path. This path consists of a separate encoder–decoder structure and is designed to further refine the enhanced speech by incorporating complementary information, learned independently from the main path. By using this dual-path architecture, the model better preserves fine speech details while reducing residual noise. Experimental results on the VoiceBank + DEMAND dataset show that our model surpasses conventional methods across multiple evaluation metrics in the causal setup. Specifically, it achieves a PESQ score of 3.33, reflecting improved speech quality, and a CSIG score of 4.48, indicating enhanced intelligibility. Furthermore, it demonstrates superior noise suppression, achieving an SNRseg of 10.44 and a CBAK score of 3.75. Full article

Blended Synchronous Learning helps teachers and students communicate without geographical restrictions. The effect of communication between the face-to-face end and the remote end was not only affected by the performance of the equipment but also by the acoustic conditions in the classroom. This paper measured the acoustic parameters in the hybrid classrooms and conducted subjective speech intelligibility tests. It was found that for the hybrid classroom with a decentralized sound reinforcement system, the background noise level was high because lots of equipment was needed for synchronous learning. The speech intelligibility scores of the remote end were lower than those at the face-to-face end. Acoustic parameters of reverberation time (RT) and excessive signal-to-noise ratio (SNR) showed a negative correlation with speech intelligibility scores in the remote end. It was recommended that the sound pressure level (SPL) of the sound reinforcement system should not be too high and that appropriate sound absorption treatment be performed. The size of the hybrid classroom should be controlled to prevent the sound that arrived 50 ms after the direct sound from arriving. When SNR was 33 dB(A) for hybrid classrooms, which had a good performance in the face-to-face end with the speech intelligibility scores, T₂₀ should be within 0.8 s to achieve the target value of 83% for SI scores at the remote end. Full article

Russia’s conflict with Ukraine, which escalated into full-scale military confrontation in February 2022, originated in 2014 with the annexation of Crimea and the backing of pro-Russian separatists in Donetsk and Luhansk. However, this war extends beyond bilateral hostilities, reflecting a broader geopolitical confrontation with the West that aligns with Vladimir Putin’s strategic vision, as signalled in his 2007 Munich Security Conference speech. Russian security doctrines have consistently framed the West as an existential threat, a perception reinforced by state-controlled media. This study examines the role of Russian state media in shaping public perceptions of the West between 2014 and 2022. It explores how Russian media, particularly RIA Novosti, constructed adversarial narratives about Latvia, Poland, and Serbia within the framework of Russian security policy. Through qualitative content analysis, the research investigates the alignment of media narratives with official strategic objectives, the portrayal of Western nations as threats, and the intended audience of these narratives. The findings underscore the integral role of state-controlled media in Russia’s security strategy, highlighting an increasing consolidation of media control to sustain domestic legitimacy and justify external aggression. As Russia faces growing challenges, media restrictions are expected to intensify, reinforcing state-driven narratives and information isolation. Full article

Metallic biomaterials are prevalent in medical applications. In the treatment of mandibular fractures, the use of metallic biomaterials makes it possible to recover the ability to bite and partially recover speech through preventing ankylosis of the temporomandibular joints, the formation of pseudoarthritic joints, and the consolidation of reduced bones. This article presents the concept of a triaxial plate for osteosynthesis of basal fractures of the mandibular condyle, which are very common fractures in humans. Approximately half of patients with such fractures have wide (squat) condylar processes, which allows for the use of as many as three straight plates. However, installing three plates is quite troublesome, and the use of a single and transversely reinforced plate would facilitate treatment. This study proposes a plate with three reinforcements running along three divergent axes. The plate is fixed to the bone fragments with 11 screws. This concept for the treatment of basal fractures allows patients to quickly recover their primary system functions due to rigid fixation through the use of short (4 mm) screws, as there is no trauma to the medial pterygoid muscle and the mandible canal contents and no intermaxillary immobilization. Full article

Intellectual preferences often align with the broader concept of standardization. The centralizing tendency observed in the sciences mirrors the patterns seen in linguistic standardization, such as the establishment of standard dialects in diverse speech communities. In both cases, there is a deliberate disregard for the complexities of the “lower” systems within the hierarchy and an exaggerated belief in the purity of the dominant system. The process of language standardization involves minimizing linguistic variation, often leading to the marginalization of non-standard varieties and reinforcing social hierarchies by privileging certain forms of language, which can restrict access to opportunities and institutional authority. The hierarchical tendencies observed in both scientific disciplines and linguistic standardization reflect a broader intellectual preference for centralized, “pure” systems, often at the expense of diversity and complexity. This paper explores the relationship between linguistic and scientific standardization, highlighting their influence on knowledge, authority, and social structures. Focusing on the global use of Greco-Latin scientific terminology, it examines both the practical advantages and cultural implications of standardized scientific language. While proponents emphasize its unifying role, critics argue it threatens linguistic purity and cultural identity. Through historical and contemporary debates, the paper argues that standardization serves as both a tool for communication and a contested space reflecting ideological tensions about language, culture, and knowledge. Topics include the politics of language standardization, the globalization of scientific vocabulary, debates on the interlingual lexicon, and the conflict between global communication and Arabic language preservation. Full article

Background/Objectives: Stuttering is a speech disorder involving fluency disruptions like repetitions, prolongations, and blockages, often leading to emotional distress and social withdrawal. Here, we present Augmented Multisensory Feedback Stimulation (AMFS), a novel personalized intervention to improve speech fluency in people who stutter (PWS). AMFS includes a five-day intensive phase aiming at acquiring new skills, plus a reinforcement phase designed to facilitate the transfer of these skills across different contexts and their automatization into effortless behaviors. The concept of our intervention derives from the prediction of the neurocomputational model Directions into Velocities of Articulators (DIVA). The treatment applies dynamic multisensory stimulation to disrupt PWS’ maladaptive over-reliance on sensory feedback mechanisms, promoting the emergence of participants’ natural voices. Methods: Forty-six PWS and a control group, including twenty-four non-stuttering individuals, participated in this study. Stuttering severity and physiological measures, such as heart rate and electromyographic activity, were recorded before and after the intensive phase and during the reinforcement stage in the PWS but only once in the controls. Results: The results showed a significant reduction in stuttering severity at the end of the intensive phase, which was maintained during the reinforcement training. Crucially, worse performance was found in PWS than in the controls at baseline but not after the intervention. In the PWS, physiological signals showed a reduction in activity during the training phases compared to baseline. Conclusions: Our findings show that AMFS provides a promising approach to enhancing speech fluency. Future studies should clarify the mechanisms underlying such intervention and assess whether effects persist after the treatment conclusion. Full article

This article contributes to the reimagining of Roman Catholic ethics in the twenty-first century, building on the research of Sweeny Block, who argues that the unconscious dimensions of the moral life play a decisive role in moral agency. By taking account of the work of researchers in moral psychology, the traditional boundaries of moral theology can be reimagined to give a more accurate accounting of moral agency, leading to improved work in moral formation. This interdisciplinary approach engages the experiences of Catholic thinkers from the Global South, whose experiences are not usually countenanced in theorising on the nature of morality. The discussion presents a Caribbean refinement of Bandura’s eight mechanisms of moral disengagement, which are amplified and distilled into culturally relevant attitudes captured in the everyday language or speech events of the Jamaican people. Roman Catholic ethics have not treated with the concept of moral disengagement in any meaningful fashion. The amplification of the mechanisms of moral disengagement points to and reinforces the inadequacy of models of moral agency that disregard unconscious dimensions while centring rationality and free will in the face of human fallibility and social contexts that are distorting and deforming. It points to storytelling, an important part of the Caribbean culture, as one way to improve our moral agency by expanding the moral imagination to better form our moral vision. Full article

This study investigates how religious rhetoric and popular mobilisation contributed to the preservation and propagation of Daoist traditions at the mountain Maoshan 茅山 from late Qing to Republican China (1864–1937), focusing particularly on the corpus of religious texts related to Maoshan and its tutelary gods, the Three Mao Lords 三茅真君. Through a detailed analysis of primary sources, including editions of the Maoshan Gazetteer, liturgical manuals such as the scripture (jing 經), litany (chan 懺), and performative texts such as the precious scroll (baojuan 寶卷) of the Three Mao Lords, this study identifies six key rhetoric strategies employed by Maoshan Daoists, using the acronym IMPACT: (1) Incorporation: Appending miracle tales (lingyan ji 靈驗記) and divine medicine (xianfang 仙方) to address immediate and practical needs of contemporary society; (2) Memory: Preserving doctrinal continuity while invoking cultural nostalgia to reinforce connections to traditional values and heritage; (3) Performance: Collaborating with professional storytellers to disseminate vernacularized texts through oral performances, thereby reaching broader audiences including the illiterate. (4) Abridgment: Condensing lengthy texts into concise and accessible formats; (5) Canonization: Elevating the divine status of deities through spirit-writing, thereby enhancing their religious authority; (6) Translation: Rendering classical texts into vernacular language for broader accessibility. Building upon J.L. Austin’s speech act theory, this study reconceptualizes these textual innovations as a form of “text acts”, arguing that Maoshan texts did not merely transmit religious doctrine but actively shaped pilgrimages and devotional practices through their illocutionary and perlocutionary force. Additionally, this study also highlights the crucial role of social networks, particularly the efforts of key individuals such as Zhang Hefeng 張鶴峰 (fl. 1860–1864), Long Zehou 龍澤厚 (1860–1945), Jiang Daomin 江導岷 (1867–1939), Wang Yiting 王一亭 (1867–1938) and Teng Ruizhi 滕瑞芝 (fl. 1920–1947) who facilitated the reconstruction, reprinting and dissemination of these texts. Furthermore, this study considers pilgrimages to Maoshan as a form of popular mobilisation and resistance to anti-clerical and anti-superstition campaigns, illustrating how, against all odds, Maoshan emerged as a site where religious devotion and economic activity coalesced to sustain the local communities. Ultimately, despite the challenges identified in applying speech act theory to textual practices, the findings conclude that the survival and revival of Daoist traditions at Maoshan was not only a result of textual retention and innovation but also a testament to how religious rhetoric, when coupled with strategic social engagement, can fuel popular mobilisation, reignite collective devotion, and reshape cultural landscapes in transformative ways. Full article

The Inclusive Early Childhood Service System (IECSS) project is a longitudinal institutional ethnography that studies disability services in early childhood, and the interactions between these services and other systems, from the standpoint of families. In this paper, we examine speech-language services as part of a system of services and a site of participation for disabled children. We use longitudinal data from annual interviews with 117 informants to map Speech and Language services over the first six years of children’s lives. We report that speech and language pathology (SLP) as a professional discourse holds cultural significance and influences the organization of disabled children and their families. The analysis of the data illustrates the pervasiveness, organizational structure, and governance of speech and language pathology (SLP) in early childhood, leading to professional discourses of childhood and disability in early intervention, preschool, and school-based services which reinforce individualized pathology as the dominant way of understanding development. We discuss how the professional practices of SLP-related services could help to disrupt disabling constructs of childhood development and colonial practices in early childhood disability services. We emphasize how speech and language development emerges in relationship with individuals and socio-political contexts. We suggest possibilities for SLP to operate within community contexts where speech and language services contribute to reducing family workload, increasing the participation of all children, and disrupting ableism in practice. Full article