Titlebook: Real World Speech Processing; Jhing-Fa Wang,Sadaoki Furui,Biing-Hwang Juang Book 2004 Springer Science+Business Media New York 2004 Signal

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書目名稱Real World Speech Processing影響因子(影響力)




書目名稱Real World Speech Processing影響因子(影響力)學(xué)科排名




書目名稱Real World Speech Processing網(wǎng)絡(luò)公開度




書目名稱Real World Speech Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Real World Speech Processing被引頻次




書目名稱Real World Speech Processing被引頻次學(xué)科排名




書目名稱Real World Speech Processing年度引用




書目名稱Real World Speech Processing年度引用學(xué)科排名




書目名稱Real World Speech Processing讀者反饋




書目名稱Real World Speech Processing讀者反饋學(xué)科排名

泥土謙卑

36, Numbers 2-3 of the .Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology., will be valuable to anyone working or researching in the field of speech processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.978-1-4419-5439-8978-1-4757-6363-8

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Book 2004ributors to this work were selected from the leading researchers and practitioners in this field. .The work, originally published as Volume 36, Numbers 2-3 of the .Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology., will be valuable to anyone working or researching in

Living-Will

Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator,oise level or any knowledge of the SNR. Using speech signals corrupted by additive and real noises, experimental results demonstrate that the speech enhancement method presented in this paper is capable of outperforming conventional noise cancellation schemes.

合同

Use of Microphone Array and Model Adaptation for Hands-Free Speech Acquisition and Recognition,n acquisition and recognition experiments using connected Chinese digits, we found that TDCM can effectively estimate the time delay. The increase in the speech sampling rate is helpful to determine the time delay. Incorporating the model adaptation scheme significantly reduces the recognition errors with moderate computation overhead.

木質(zhì)

Multimedia Corpus of In-Car Speech Communication,nition (ASR) system and a wizard of OZ (WOZ) system so as to collect as many speech disfluencies as possible..In addition to the details of data collection, in this paper, preliminary results on intermedia signal conversion are described as an example of the corpus-based in-car speech signal processing research.

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Blind Model Selection for Automatic Speech Recognition in Reverberant Environments,peech utterance. The proposed model selection approach is shown to improve significantly recognition accuracy for a connected digit task in both simulated and real reverberant environments, outperforming standard channel normalization techniques.

反話

. The contributors to this work were selected from the leading researchers and practitioners in this field. .The work, originally published as Volume 36, Numbers 2-3 of the .Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology., will be valuable to anyone working or rese

高貴領(lǐng)導(dǎo)

A Robust Bimodal Speech Section Detection,detection prior to any further analysis, and the accuracy of detected speech section s is said to affect the speech recognition accuracy. Because audio modalities are intrinsically disturbed by audio noise, we have been researching video modality speech section detection by detecting deformations in

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