Man-Machine Speech Communication

Table of Contents

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   Book Overview
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   Chapter 1 MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation
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   Chapter 2 Baby Cry Recognition Based on Acoustic Segment Model
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   Chapter 3 A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification
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   Chapter 4 Multi-hypergraph Neural Networks for Emotion Recognition in Multi-party Conversations
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   Chapter 5 Using Emoji as an Emotion Modality in Text-Based Depression Detection
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   Chapter 6 Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis
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   Chapter 7 Semantic Enhancement Framework for Robust Speech Recognition
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   Chapter 8 Achieving Timestamp Prediction While Recognizing with Non-autoregressive End-to-End ASR Model
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    Chapter 9 Predictive AutoEncoders Are Context-Aware Unsupervised Anomalous Sound Detectors
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    Chapter 10 A Pipelined Framework with Serialized Output Training for Overlapping Speech Recognition
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    Chapter 11 Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification
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    Chapter 12 Multi-speaker Multi-style Speech Synthesis with Timbre and Style Disentanglement
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    Chapter 13 Multiple Confidence Gates for Joint Training of SE and ASR
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    Chapter 14 Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion
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    Chapter 15 Pre-training Techniques for Improving Text-to-Speech Synthesis by Automatic Speech Recognition Based Data Enhancement
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    Chapter 16 A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition
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    Chapter 17 Interplay Between Prosody and Syntax-Semantics: Evidence from the Prosodic Features of Mandarin Tag Questions
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    Chapter 18 Improving Fine-Grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis
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    Chapter 19 Violence Detection Through Fusing Visual Information to Auditory Scene
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    Chapter 20 Mongolian Text-to-Speech Challenge Under Low-Resource Scenario for NCMMSC2022
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    Chapter 21 VC-AUG: Voice Conversion Based Data Augmentation for Text-Dependent Speaker Verification
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    Chapter 22 Transformer-Based Potential Emotional Relation Mining Network for Emotion Recognition in Conversation
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    Chapter 23 FastFoley: Non-autoregressive Foley Sound Generation Based on Visual Semantics
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    Chapter 24 Structured Hierarchical Dialogue Policy with Graph Neural Networks
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    Chapter 25 Deep Reinforcement Learning for On-line Dialogue State Tracking
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    Chapter 26 Dual Learning for Dialogue State Tracking
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    Chapter 27 Automatic Stress Annotation and Prediction for Expressive Mandarin TTS
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    Chapter 28 MnTTS2: An Open-Source Multi-speaker Mongolian Text-to-Speech Synthesis Dataset