Titlebook: Man-Machine Speech Communication; 18th National Confer Jia Jia,Zhenhua Ling,Zixing Zhang Conference proceedings 2024 The Editor(s) (if appl

DUCT

书目名称Man-Machine Speech Communication影响因子(影响力)




书目名称Man-Machine Speech Communication影响因子(影响力)学科排名




书目名称Man-Machine Speech Communication网络公开度




书目名称Man-Machine Speech Communication网络公开度学科排名




书目名称Man-Machine Speech Communication被引频次




书目名称Man-Machine Speech Communication被引频次学科排名




书目名称Man-Machine Speech Communication年度引用




书目名称Man-Machine Speech Communication年度引用学科排名




书目名称Man-Machine Speech Communication读者反馈




书目名称Man-Machine Speech Communication读者反馈学科排名

夹克怕包裹

Jianquan Zhou,Yi Gao,Siyu Zhanglt of a careful research and extensive translation operation ensuring The alphabetical index of organisations throughout the entries are as accurate and up-to-date as possible. Eastern Europe and the c.rs. lists all entries in The Editors would like to express thanks to the huge alphabetical order i

condone

小鹿

,Semi-End-to-End Nested Named Entity Recognition from Speech,se a span classifier to classify only the spans that start with the predicted heads in transcriptions. From the experimental results on the nested NER dataset of Chinese speech CNERTA, our semi-E2E approach gets the best .1 score (1.84% and 0.53% absolute points higher than E2E and pipeline respecti

不透明

,APNet2: High-Quality and High-Efficiency Neural Vocoder with Direct Prediction of Amplitude and Phantroduce a multi-resolution discriminator (MRD) into the GAN-based losses and optimize the form of certain losses. At a common configuration with a waveform sampling rate of 22.05 kHz and spectral frame shift of 256 points (i.e., approximately 11.6 ms), our proposed APNet2 vocoder outperforms the or

modest

,A Fast Sampling Method in Diffusion-Based Dance Generation Models,uences during the iteration process, and eventually concatenating multiple short sequences to form a longer one. Experimental results show that our improved sampling method not only makes the generation speed faster, but also maintains the quality of the dance movements.

Clumsy

DRILL

Emotional Support Dialog System Through Recursive Interactions Among Large Language Models,tional support strategy, while the latter boasts strong reasoning capabilities and world knowledge. By interacting, our framework synergistically leverages the strengths of both models. Furthermore, we have integrated recursive units to maintain the continuity of dialogue strategy, working toward th

Vulnerary

,Task-Adaptive Generative Adversarial Network Based Speech Dereverberation for Robust Speech Recognie generator as a dereverberation system. By doing so, the corresponding output distribution will be more suitable for the recognition task. Experimental results on the REVERB corpus show that our proposed approach achieves a relative 18.6% and 8.6% word error rate reduction than the traditional GAN-

ENACT

,A Framework Combining Separate and Joint Training for Neural Vocoder-Based Monaural Speech Enhancemhigh-fidelity, high-generation speed vocoder, which synthesizes the improved speech waveform. Following the pre-training of these two modules, they are stacked for joint training. Experimental results show the superiority of this approach in terms of speech quality, surpassing the performance of con