Man-Machine Speech Communication

Lingua: inglese

Editore: Springer, Springer Feb 2024, 2024

9819706009 / 9789819706006

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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Venditore AbeBooks dal 23 gennaio 2017

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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.…

Codice articolo 9789819706006

Titolo
Man-Machine Speech Communication
Autore
Jia Jia
Editore
Springer, Springer Feb 2024
Anno di pubblicazione
2024
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
9819706009
ISBN 13
9789819706006
Peso dell'articolo
581 grammi
Dimensioni
235x155x21 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 60,00EUR 75,00
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