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Añadir al carritoTaschenbuch. Condición: Neu. Man-Machine Speech Communication | 18th National Conference, NCMMSC 2023, Suzhou, China, December 8-10, 2023, Proceedings | Jia Jia (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Springer | EAN 9789819706006 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 18thNational Conference on Man-Machine Speech Communication, NCMMSC 2023, held inSuzhou, China, duringDecember 8-11, 2023.The 20 full papers and 11 short papers included in this book were carefully reviewed andselected from117submissions. They deal with topics such as speech recognition, synthesis, enhancement and coding, audio/music/singing synthesis, avatar, speaker recognition and verification, human-computer dialogue systems, large language models as well as phonetic andlinguistic topics such as speech prosody analysis, pathological speech analysis, experimentalphonetics, acoustic scene classification.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 18thNational Conference on Man-Machine Speech Communication, NCMMSC 2023, held inSuzhou, China, duringDecember 8-11, 2023.The 20 full papers and 11 short papers included in this book were carefully reviewed andselected from117submissions. They deal with topics such as speech recognition, synthesis, enhancement and coding, audio/music/singing synthesis, avatar, speaker recognition and verification, human-computer dialogue systems, large language models as well as phonetic andlinguistic topics such as speech prosody analysis, pathological speech analysis, experimentalphonetics, acoustic scene classification. 384 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ultra-Low Complexity Residue Echo and Noise Suppression Based on Recurrent Neural Network.- Semi-End-to-End Nested Named Entity Recognition from Speech.- A Lightweight Music Source Separation Model with Graph Convolution Network.- Joint time-domain and frequency-domain progressive learning for single-channel speech enhancement and recognition.- A Study on Domain Adaptation for Audio-visual Speech Enhancement.- APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra.- Within- and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification.- Joint speech and noise estimation using SNR-adaptive target learning for deep-learning-based speech enhancement.- Data Augmentation By Finite Element Analysis for Enhanced Machine Anomalous Sound Detection.- A Fast Sampling Method in Diffusion-based Dance Generation Models.- End-to-end Streaming Customizable KeywordSpotting based on text-adaptive neural search.- The Production of Successive Addition Boundary Tone in Mandarin Preschoolers.- Emotional Support Dialog System Through Recursive Interactions Among Large Language Models.- Task-Adaptive Generative Adversarial Network based Speech Dereverberation for Robust Speech Recognition.- Real-time Automotive Engine Sound Simulation with Deep Neural Network.- A Framework Combining Separate and Joint Training for Neural Vocoder-Based Monaural Speech Enhancement.- Accent-VITS: accent transfer for end-to-end TTS.- Multi-branch Network with Cross-Domain Feature Fusion for Anomalous Sound Detection.- A Packet Loss Concealment Method Based on the Demucs Network Structure.- Improving Speech Perceptual Quality and Intelligibility through Sub-band Temporal Envelope Characteristics.- Adaptive Deep Graph Convolutional Network For Dialogical Speech Emotion Recognition.- Iterative Noisy-target Approach: Speech Enhancement without Clean Speech.- Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization.- Zero-shot Singing Voice Conversion Method Based on Timbre Space Modeling and Excitation Signal Control.- A Comparative Study of Pre-trained Audio and Speech Models for Heart Sound Detection.- CAM-GUI: A Conversational Assistant on Mobile GUI.- A Pilot Study on the Prosodic Factors Influencing Voice Attractiveness of AI Speech.- The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023.- Chinese EFL Learners' Auditory and Visual Perception of English Statement and Question Intonation: The Effect of Stress.- An Improved System for Partially Fake Audio Detection Using Pre-trained Model.- Leveraging Synthetic Speech for CIF-based Customized Keyword Spotting.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.