05527nam 22007335 450 991072008610332120230509085529.0981-9924-01-410.1007/978-981-99-2401-1(CKB)5720000000183818(MiAaPQ)EBC7248740(Au-PeEL)EBL7248740(DE-He213)978-981-99-2401-1(BIP)090181598(PPN)270613749(EXLCZ)99572000000018381820230509d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMan-Machine Speech Communication 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings /edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (342 pages)Communications in Computer and Information Science,1865-0937 ;1765981-9924-00-6 Includes bibliographical references and index.MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation -- Baby Cry Recognition Based on Acoustic Segment Model -- A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification -- Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations -- Using Emoji as an Emotion Modality in Text-Based Depression Detection -- Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis -- Semantic enhancement framework for robust speech recognition -- Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model -- Predictive AutoEncoders are Context-Aware Unsupervised Anomalous Sound Detectors -- A pipelined framework with serialized output training for overlapping speech recognition -- Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification -- Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement -- Multiple Confidence Gates for Joint Training of SE and ASR -- Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion -- Pre-training Techniques For Improving Text-to-Speech Synthesis By Automatic Speech Recognition Based Data Enhancement -- A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition -- Interplay between prosody and syntax-semantics: Evidence from the prosodic features of Mandarin tag questions -- Improving Fine-grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis -- Violence Detection through Fusing Visual Information to Auditory Scene -- Mongolian Text-to-Speech Challenge under Low-Resource Scenario for NCMMSC2022 -- VC-AUG Voice Conversion based Data Augmentation for Text-Dependent Speaker Verification -- Transformer-based potential emotional relation mining network for emotion recognition in conversation -- FastFoley Non-Autoregressive Foley Sound Generation Based On Visual Semantics -- Structured Hierarchical Dialogue Policy with Graph Neural Networks -- Deep Reinforcement Learning for On-line Dialogue State Tracking -- Dual Learning for Dialogue State Tracking -- Automatic Stress Annotation and Prediction For Expressive Mandarin TTS -- MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.This book constitutes the refereed proceedings of the 17th National Conference on Man–Machine Speech Communication, NCMMSC 2022, held in China, in December 2022. The 21 full papers and 7 short papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model, MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.Communications in Computer and Information Science,1865-0937 ;1765Computer visionNatural language processing (Computer science)Signal processingArtificial intelligenceUser interfaces (Computer systems)Human-computer interactionComputer VisionNatural Language Processing (NLP)Signal, Speech and Image Processing Artificial IntelligenceUser Interfaces and Human Computer InteractionScienceComputer vision.Natural language processing (Computer science).Signal processing.Artificial intelligence.User interfaces (Computer systems).Human-computer interaction.Computer Vision.Natural Language Processing (NLP).Signal, Speech and Image Processing .Artificial Intelligence.User Interfaces and Human Computer Interaction.006.4Zhenhua LingMiAaPQMiAaPQMiAaPQBOOK9910720086103321Man-Machine Speech Communication3389332UNINA03900nam 22005655 450 991035028330332120200629130351.0981-13-2802-110.1007/978-981-13-2802-2(CKB)4100000007110923(DE-He213)978-981-13-2802-2(MiAaPQ)EBC5583536(EXLCZ)99410000000711092320181103d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPandemics, Publics, and Politics Staging Responses to Public Health Crises /edited by Kristian Bjørkdahl, Benedicte Carlsen1st ed. 2019.Singapore :Springer Singapore :Imprint: Palgrave Pivot,2019.1 online resource (VIII, 91 p.) Palgrave pivot981-13-2801-3 CHAPTER 1 Introduction -- CHAPTER 2 Global Health Governance and Pandemics: Uncertainty and Institutional Decision-Making -- CHAPTER 3 Uncertainty and Immunity in Public Communications on Pandemics -- CHAPTER 4 Enacting Pandemics: How Health Authorities Use the Press – and Vice Versa -- CHAPTER 5 “Disease Knows No Borders”: Pandemics and the Politics of Global Health Security -- CHAPTER 6 When Authority Goes Viral: Digital Communication and Health Expertise on pandemi.no.Pandemics are potentially very destructive phenomena, and for that reason, they both fascinate and frighten us. And because they are shot through with uncertainty, they often become sites of contestation and conflict. This book presents research on the 2009 pandemic and other public health crises in an attempt to describe and analyze the distinctive challenges that such diseases pose today. Thanks to vaccines, more reliable provision of medical services, more effective means of communication, and a more educated public, some argue we will not see a new Black Plague – or even Spanish Flu – in our time. Today we face new challenges, however, which can both enable diseases to reach pandemic scales and affect our ability to enact an appropriate response. Those include fragmentation of media, tribalization of “knowledge regimes,” the increasingly troubled status of scientific and political expertise, growing cross-continental mobility, as well as the globalization and commercialization of pandemic response systems. These distinctive complexities make the need to stage public action in response to pandemics and other public health crises a crucial problem, on which thousands of human lives hinge. This volume consists of a handful of social science and humanities studies of precisely such complexities, and thus offers a much-needed supplement to existing research on pandemics and pandemic response.Palgrave pivot.Social medicineMedical anthropologyMedicineMedical Sociologyhttps://scigraph.springernature.com/ontologies/product-market-codes/X22150Medical Anthropologyhttps://scigraph.springernature.com/ontologies/product-market-codes/X12080Medicine/Public Health, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/H00007Social medicine.Medical anthropology.Medicine.Medical Sociology.Medical Anthropology.Medicine/Public Health, general.306.461Bjørkdahl Kristianedthttp://id.loc.gov/vocabulary/relators/edtCarlsen Benedicteedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910350283303321Pandemics, Publics, and Politics2531396UNINA