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Man-Machine Speech Communication 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings /

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...

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Gespeichert in:
Bibliographische Detailangaben
Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Zhenhua, Ling (HerausgeberIn), Jianqing, Gao (HerausgeberIn), Kai, Yu (HerausgeberIn), Jia, Jia (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Ausgabe:1st ed. 2023.
Schriftenreihe:Communications in Computer and Information Science, 1765
Schlagworte:
Computer 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.
Online-Zugang:https://doi.org/10.1007/978-981-99-2401-1
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Inhaltsangabe:
  • 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.

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