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Produktbild: Man-Machine Speech Communication
Band 2312

Man-Machine Speech Communication 19th National Conference, NCMMSC 2024, Urumqi, China, August 15–18, 2024, Proceedings

Aus der Reihe Communications in Computer and Information Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.12.2024

Abbildungen

XIII, 400 p. 133 illus., 102 illus. in color.

Herausgeber

Zhenhua Ling + weitere

Verlag

Springer Singapore

Seitenzahl

400

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9610-44-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.12.2024

Abbildungen

XIII, 400 p. 133 illus., 102 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

400

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9610-44-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Man-Machine Speech Communication

  • .- The Attention-Based Fusion of Master-Auxiliary Network for Speech Enhancement.



    .- M-CMGAN: Attempting to Use Mamba on Speech Enhancement.



    .- A Backend-friendly On-device Multi-channel Speech Enhancement System with IPD and PHM.



    .- SESNet: A Speech Enhancement and Separation Network in Noisy Reverberant Environments.



    .- ASD-Diff: Unsupervised Anomalous Sound Detection With Masked Diffusion Model.



    .- Emergence of Hemispheric Asymmetries and Predictive Coding in the Neural Mechanism of Speech Perception.



    .- Phoneme Semantic Backdoor Attacks with Multiple Task Learning for Speech Classification Task.



    .- AESR: Speech Recognition With Speech Emotion Recogniting Learning.



    .- A Comparative Analysis of Diphthong Acquisition in Standard Chinese by Learners from ‘the Belt and Road’.



    .- ESTVocoder: An Excitation-Spectral-Transformed Neural Vocoder Conditioned on Mel Spectrogram.



    .- Transformer-based Model for Auditory EEG Decoding.



    .- A Neural Denoising Vocoder for Clean Waveform Generation from Noisy Mel-Spectrogram based on Amplitude and Phase Predictions.



    .- Sound Zone Control Based on a Kronecker Second-Order Tensor Decomposition.



    .- MCDubber: Multimodal Context-Aware Expressive Video Dubbing.



    .- TeleSpeechPT: Large-Scale Chinese Multi-Dialect And Multi-Accent Speech Pre-Training.



    .- Investigation into the Impact of Speaker Adversarial Perturbation on Speech Recognition.



    .- Pruning and Quantization Enhanced Densely Connected Neural Network for Efficient Acoustic Echo Cancellation.



    .- Improved DOA Estimation of Sound Source of Small Amplitudes using a Single Acoustic Vector Sensor.



    .- Investigation on Training Strategy for Cross-Modal Large Language Models with Speech and Text.



    .- ExARN: Target Speaker Extraction with Attentive Recurrent Networks.



    .- Tone Perception by Putonghua-Learning Preschool Children in South Xinjiang Uyghur Autonomous Region.



    .- Study on Prosodic Disambiguation of VP/NP Syntactic Structure by Chinese EFL Learners.



    .- An electroencephalogram-based study of neural responses to imagined speech in Mandarin.



    .- A Speech Corpus of Putonghua-Learning Preschoolers From the Uygur Ethnic Group in South Xinjiang Uygur Autonomous Region of China.



    .- Evaluation of Data Inconsistency for Multi-modal Sentiment Analysis.



    .- LDMME: Latent Diffusion Model for Music Editing.



    .- Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech.



    .- Speech emotion recognition based on multi acoustic feature fusion.



    .- DA-KWFormer: A Domain Adaptation Network with K-Weight Transformer for Speech Emotion Recognition.



    .- An Unsupervised Domain Adaptation Method based on Distribution Alignment for Speaker Verification.



    .- Cross-Model Knowledge Distillation and Metadata Fusion for Respiratory Sound Classification.



    .- Effect of Focus on Vowel Duration and Formant in Cantonese.



    .- A Quantitative Parameter of Pronunciation, TVVF.