05552nam 22007335 450 99654684480331620230509085529.0981-9924-01-410.1007/978-981-99-2401-1(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[electronic resource] 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 LingMiAaPQMiAaPQMiAaPQBOOK996546844803316Man-Machine Speech Communication3389332UNISA