標題: Titlebook: Application of Wavelets in Speech Processing; Mohamed Hesham Farouk Book 2018Latest edition The Author(s) 2018 Multiresolution Analysis.Sh [打印本頁] 作者: 諷刺文章 時間: 2025-3-21 19:48
書目名稱Application of Wavelets in Speech Processing影響因子(影響力)
書目名稱Application of Wavelets in Speech Processing影響因子(影響力)學科排名
書目名稱Application of Wavelets in Speech Processing網(wǎng)絡公開度
書目名稱Application of Wavelets in Speech Processing網(wǎng)絡公開度學科排名
書目名稱Application of Wavelets in Speech Processing被引頻次
書目名稱Application of Wavelets in Speech Processing被引頻次學科排名
書目名稱Application of Wavelets in Speech Processing年度引用
書目名稱Application of Wavelets in Speech Processing年度引用學科排名
書目名稱Application of Wavelets in Speech Processing讀者反饋
書目名稱Application of Wavelets in Speech Processing讀者反饋學科排名
作者: innate 時間: 2025-3-21 23:10 作者: 憂傷 時間: 2025-3-22 02:03 作者: 滔滔不絕的人 時間: 2025-3-22 05:31 作者: 障礙物 時間: 2025-3-22 10:40
Defence and Security: New Issues and Impactsecognition process may perform better. Alternatively, wavelet-based features can be added to other successful features to improve recognition performance. Third, wavelets can serve as an activation function in neural-networks employed for speech recognition. Hybrid methodology may comprise a mix of one or more approaches.作者: archaeology 時間: 2025-3-22 15:25
https://doi.org/10.1007/978-3-319-52836-6quency regions while the Mel scale gets coarser in the higher-frequency bands. The speaker’s individual information, which is nonuniformly distributed in the high-frequency bands, is equally important for speaker recognition. Accordingly, wavelet-based features are more appropriate.作者: debase 時間: 2025-3-22 17:10 作者: Incumbent 時間: 2025-3-22 22:29 作者: CURT 時間: 2025-3-23 02:58
Emerging Technologies for EducationLike ASR, emotion recognition can benefit from the merits of wavelet analysis. Similar methodologies may be followed based on WT similar to that used in speech recognition. Mainly, it is realized in literatures that WP parameters are responsive to emotions. Also, many results prove that wavelet-based features improve emotion recognition.作者: GRAIN 時間: 2025-3-23 05:55 作者: 陶器 時間: 2025-3-23 10:48 作者: 同來核對 時間: 2025-3-23 17:06
Emerging Technologies for EducationWT coefficients of normal voice signal have a remarkable difference compared to pathological one. This difference is distributed overall the speech frequency bands with different resolutions. Accordingly, WT is successfully used as a noninvasive method to diagnose vocal pathologies.作者: 助記 時間: 2025-3-23 20:50
Speech Production and Perception,The main objective of research in speech processing is directed toward finding techniques for extracting features which, robustly, model a speech signal. Some of these features can be characterized by relatively simple models, while others may require more realistic models in both cases of speech production and perception.0作者: 使成整體 時間: 2025-3-24 01:46 作者: defendant 時間: 2025-3-24 05:43
Emotion Recognition from Speech,Like ASR, emotion recognition can benefit from the merits of wavelet analysis. Similar methodologies may be followed based on WT similar to that used in speech recognition. Mainly, it is realized in literatures that WP parameters are responsive to emotions. Also, many results prove that wavelet-based features improve emotion recognition.作者: photophobia 時間: 2025-3-24 06:32 作者: Freeze 時間: 2025-3-24 14:25 作者: 知識分子 時間: 2025-3-24 17:14 作者: Carbon-Monoxide 時間: 2025-3-24 22:49
Amjad Fayoumi,Juliana Sutanto,Andreas Mautheelet analysis in different applications of speech processing. Many speech processing algorithms and techniques still lack some sort of robustness which can be improved through the use of wavelet tools. Researchers and practitioners in speech technology will find valuable information in this monograp作者: alliance 時間: 2025-3-25 01:49 作者: 捕鯨魚叉 時間: 2025-3-25 03:55 作者: plasma 時間: 2025-3-25 11:08
Defense 4.0: Internet of Things in Military speech from other signals. Many works report better detection and separation performance using wavelet analysis than using other techniques. On another level, as segmentation of speech into many classes is so hard, WT is well localized in time-frequency domain, and boundaries of speech segments can作者: 令人發(fā)膩 時間: 2025-3-25 12:43
Defence and Security: New Issues and Impactsecognition process may perform better. Alternatively, wavelet-based features can be added to other successful features to improve recognition performance. Third, wavelets can serve as an activation function in neural-networks employed for speech recognition. Hybrid methodology may comprise a mix of 作者: 許可 時間: 2025-3-25 16:15 作者: 鑒賞家 時間: 2025-3-25 21:22 作者: landfill 時間: 2025-3-26 03:35
Emerging Technologies for Educationon of vocal cords. The resulting excitation affects the lower-frequency components of produced voice at lips. Instead, turbulent sound source interacts in a way that influences the higher-frequency components. So, the wavelet decomposition can explore such nonlinear behavior through MRA. Nonlinear a作者: 懸崖 時間: 2025-3-26 05:54 作者: 具體 時間: 2025-3-26 11:26
SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/a/image/159195.jpg作者: Increment 時間: 2025-3-26 13:14 作者: 支架 時間: 2025-3-26 17:01 作者: 寡頭政治 時間: 2025-3-26 23:56
Speech Recognition,ecognition process may perform better. Alternatively, wavelet-based features can be added to other successful features to improve recognition performance. Third, wavelets can serve as an activation function in neural-networks employed for speech recognition. Hybrid methodology may comprise a mix of one or more approaches.作者: Kidnap 時間: 2025-3-27 02:53
Speaker Identification,quency regions while the Mel scale gets coarser in the higher-frequency bands. The speaker’s individual information, which is nonuniformly distributed in the high-frequency bands, is equally important for speaker recognition. Accordingly, wavelet-based features are more appropriate.作者: 狂亂 時間: 2025-3-27 08:10 作者: Oscillate 時間: 2025-3-27 10:41 作者: gastritis 時間: 2025-3-27 17:23
Spectral Analysis of Speech Signal and Pitch Estimation,pectral estimation for speech signal than other methods. Wavelet-based pitch estimation assumes that the glottis closures are correlated with the maxima in the adjacent scales of the WT. This approach ensures more accurate estimation of pitch period.作者: absolve 時間: 2025-3-27 21:40 作者: 珍奇 時間: 2025-3-27 23:04 作者: 不溶解 時間: 2025-3-28 03:36 作者: 開玩笑 時間: 2025-3-28 08:28
Amjad Fayoumi,Juliana Sutanto,Andreas Mautheh can be improved through the use of wavelet tools. Researchers and practitioners in speech technology will find valuable information in this monograph on the use of wavelets to strengthen both development and research in different applications of speech processing.作者: curettage 時間: 2025-3-28 14:05
Ting-Ting Wu,Rosella Gennari,Yiwei Cao quantization error. Experimental results show that WT-based coders deliver superior quality to some audio standards when operating at the same bit rate and they deliver comparable quality to other codecs at lower bit rates. As a result, speech coding with WT can provide an efficient and flexible scheme for audio compression.作者: 分開 時間: 2025-3-28 16:53 作者: audiologist 時間: 2025-3-28 20:02
Speech Coding, Synthesis, and Compression, quantization error. Experimental results show that WT-based coders deliver superior quality to some audio standards when operating at the same bit rate and they deliver comparable quality to other codecs at lower bit rates. As a result, speech coding with WT can provide an efficient and flexible scheme for audio compression.作者: RAG 時間: 2025-3-29 00:33
Book 2018Latest editionpresents updated developments in topics such as; speech enhancement, noise suppression, spectral analysis of speech signal, speech quality assessment, speech recognition, forensics by Speech, and emotion recognition from speech. The new edition also features ?a new chapter on scalogram analysis of s作者: FLAX 時間: 2025-3-29 07:01 作者: DEMN 時間: 2025-3-29 09:44
Wavelets, Wavelet Filters, and Wavelet Transforms,er coding or identified for recognition. The wavelets are considered one of such efficient methods for representing the spectrum of speech signals. Wavelets are used to model both production and perception processes of speech. Wavelet-based features prove a success in a widespread area of practical 作者: 出血 時間: 2025-3-29 13:36
Spectral Analysis of Speech Signal and Pitch Estimation,wavelet theory permits the introduction of the concepts of signal filtering with different bandwidths or frequency resolutions. As both time and frequency analysis can be conducted by WT, the tree structure of WP analysis can be customized to match the critical bands of human hearing giving better s作者: HIKE 時間: 2025-3-29 17:33
Speech Detection and Separation, speech from other signals. Many works report better detection and separation performance using wavelet analysis than using other techniques. On another level, as segmentation of speech into many classes is so hard, WT is well localized in time-frequency domain, and boundaries of speech segments can作者: 公式 時間: 2025-3-29 19:48
Speech Recognition,ecognition process may perform better. Alternatively, wavelet-based features can be added to other successful features to improve recognition performance. Third, wavelets can serve as an activation function in neural-networks employed for speech recognition. Hybrid methodology may comprise a mix of 作者: characteristic 時間: 2025-3-30 00:44 作者: 共和國 時間: 2025-3-30 06:55
Speech Coding, Synthesis, and Compression,he wavelet synthesis filter and a controlled bit allocation to the wavelet coefficients help to minimize the perceptually significant noise due to the quantization error. Experimental results show that WT-based coders deliver superior quality to some audio standards when operating at the same bit ra作者: Nonthreatening 時間: 2025-3-30 12:13 作者: magenta 時間: 2025-3-30 14:54 作者: Indict 時間: 2025-3-30 17:21
