標(biāo)題: Titlebook: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement; Richard C. Hendriks,Timo Gerkmann,Jesper Jensen Book 2013 Sprin [打印本頁] 作者: SPARK 時(shí)間: 2025-3-21 18:20
書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement影響因子(影響力)
書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement影響因子(影響力)學(xué)科排名
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書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement被引頻次
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書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement讀者反饋
書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement讀者反饋學(xué)科排名
作者: Ingredient 時(shí)間: 2025-3-21 21:26
Wolfgang Karl H?rdle,Léopold Simar it is common to ask a group of typical listeners to judge the resulting signals, i.e., to conduct a listening test. More specifically, the listening test subjects are often asked to focus on two attributes associated with speech signals in general, namely, quality and intelligibility.作者: Aggrandize 時(shí)間: 2025-3-22 01:42
Wolfgang Karl H?rdle,Léopold Simar base line system and then extend it with algorithms from the different classes. The main goal is to study the relative impact of various building blocks on speech enhancement performance, and not to highlight a particular instance of a building block or algorithm as being better than others.作者: blackout 時(shí)間: 2025-3-22 07:15 作者: Cantankerous 時(shí)間: 2025-3-22 11:07 作者: 進(jìn)取心 時(shí)間: 2025-3-22 14:01 作者: 進(jìn)取心 時(shí)間: 2025-3-22 19:16
DFT-Based Speech Enhancement Methods-Signal Model and Notation,verse acoustical situations. Furthermore, the resulting systems tend to be relatively simple in terms of computational and storage complexity, which makes them of interest in a wide range of possible applications, including mobile communication devices, hearing aids, head sets, etc.作者: COST 時(shí)間: 2025-3-22 23:05
Book 2013nywhere and at any time without user intervention. However, the presence of acoustical disturbances limits the use of these applications, degrades their performance, or causes the user difficulties in understanding the conversation or appreciating the device. A common way to reduce the effects of su作者: 外形 時(shí)間: 2025-3-23 01:40 作者: Adrenaline 時(shí)間: 2025-3-23 06:53
Decomposition of Data Matrices by Factorsverse acoustical situations. Furthermore, the resulting systems tend to be relatively simple in terms of computational and storage complexity, which makes them of interest in a wide range of possible applications, including mobile communication devices, hearing aids, head sets, etc.作者: ungainly 時(shí)間: 2025-3-23 10:42
Wolfgang Karl H?rdle,Léopold Simarr intelligibility. Noise PSD estimation is thus a crucial aspect of any noise reduction algorithm for speech enhancement, and is in particular challenging when speech is degraded with non-stationary noise.作者: Morose 時(shí)間: 2025-3-23 17:44
Noise PSD Estimation,r intelligibility. Noise PSD estimation is thus a crucial aspect of any noise reduction algorithm for speech enhancement, and is in particular challenging when speech is degraded with non-stationary noise.作者: 食草 時(shí)間: 2025-3-23 18:41
Decomposition of Data Matrices by FactorsWith an active research history of more than 30 years, the single-channel speech enhancement area is vast, and an exhaustive historical coverage is infeasible. Instead, our goal in this section is to give an overview of the general ideas and principles behind the most successful single-channel speech enhancement systems.作者: Fluctuate 時(shí)間: 2025-3-23 23:59 作者: 鋸齒狀 時(shí)間: 2025-3-24 02:48 作者: amputation 時(shí)間: 2025-3-24 08:54 作者: 租約 時(shí)間: 2025-3-24 12:41 作者: 含水層 時(shí)間: 2025-3-24 17:14 作者: Neuralgia 時(shí)間: 2025-3-24 20:22
Applied Multivariate Statistical Analysisefficient . at each time-frequency point. Historically, two different estimator classes have been developed, namely, complex-DFT (CDFT) estimators which estimate the complex-valued DFT coefficient . directly, and magnitude-DFT (MDFT) estimators which estimate . = |S|, and append the noisy phase to f作者: Spangle 時(shí)間: 2025-3-25 00:31
Wolfgang Karl H?rdle,Léopold Simarthat speech is present in frequency bin . at time segment . while .(.) indicates speech absence. In the sequel we neglect the time and frequency indices for brevity. In Figure 2.1 we see that the speech presence probability (SPP) may be needed for the target estimate, the noise PSD estimate, and the作者: 自作多情 時(shí)間: 2025-3-25 06:56
Wolfgang Karl H?rdle,Léopold Simarnd . SNR. The quality of the estimated speech signal therefore heavily depends on the accuracy of the noise PSD estimate. The noise PSD can be underestimated or overestimated. An underestimate of . generally leads to an undersuppression of the noisy speech, and an unnecessarily large amount of resid作者: Cabinet 時(shí)間: 2025-3-25 09:44 作者: Culmination 時(shí)間: 2025-3-25 12:58 作者: Influx 時(shí)間: 2025-3-25 16:16 作者: 樣式 時(shí)間: 2025-3-25 20:07
978-3-031-01436-9Springer Nature Switzerland AG 2013作者: 賞心悅目 時(shí)間: 2025-3-26 00:19 作者: lattice 時(shí)間: 2025-3-26 07:41
1932-121X tance of the various building blocks of such a system. This allows the non-expert DSP practitioner to judge the relevance of each building block and to implemen978-3-031-01436-9978-3-031-02564-8Series ISSN 1932-121X Series E-ISSN 1932-1678 作者: 辯論的終結(jié) 時(shí)間: 2025-3-26 11:25 作者: 預(yù)定 時(shí)間: 2025-3-26 14:29
Speech Presence Probability Estimation, . (.) is a function of the clean speech DFT coefficients, such as the magnitude . (.) = A, P (. |.) is the . SPP,E(. (.)|., .) = 0 [85] and E.|Y, .) is realized by the estimators in Sec. 4.4. For a discussion of the special case . = log (A) see also [84]. In this section we aim at deriving estimato作者: GONG 時(shí)間: 2025-3-26 19:04
DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement作者: FRET 時(shí)間: 2025-3-26 22:55
Applied Multivariate Statistical Analysismated in the past [61, 62]. Krawczyk and Gerkmann [63] have proposed an algorithm to blindly estimate the clean speech phase in voiced speech from a noisy observation. They showed that a blind estimation of the clean speech phase is possible and may push the limits of speech enhancement algorithms f作者: 十字架 時(shí)間: 2025-3-27 02:02
Wolfgang Karl H?rdle,Léopold Simar . (.) is a function of the clean speech DFT coefficients, such as the magnitude . (.) = A, P (. |.) is the . SPP,E(. (.)|., .) = 0 [85] and E.|Y, .) is realized by the estimators in Sec. 4.4. For a discussion of the special case . = log (A) see also [84]. In this section we aim at deriving estimato作者: grieve 時(shí)間: 2025-3-27 07:37 作者: ETHER 時(shí)間: 2025-3-27 12:06
DFT-Based Speech Enhancement Methods-Signal Model and Notation,ch enhancement methods, i.e., we use the DFT as the transform in Figure 2.1. The specific enhancement systems which we consider are rather general, as they impose relatively few assumptions concerning the speech and noise production process; thus, the resulting systems are robust and work well in di作者: Flatus 時(shí)間: 2025-3-27 14:23
Speech DFT Estimators,efficient . at each time-frequency point. Historically, two different estimator classes have been developed, namely, complex-DFT (CDFT) estimators which estimate the complex-valued DFT coefficient . directly, and magnitude-DFT (MDFT) estimators which estimate . = |S|, and append the noisy phase to f作者: blithe 時(shí)間: 2025-3-27 19:12
Speech Presence Probability Estimation,that speech is present in frequency bin . at time segment . while .(.) indicates speech absence. In the sequel we neglect the time and frequency indices for brevity. In Figure 2.1 we see that the speech presence probability (SPP) may be needed for the target estimate, the noise PSD estimate, and the作者: Endometrium 時(shí)間: 2025-3-28 01:13
Noise PSD Estimation,nd . SNR. The quality of the estimated speech signal therefore heavily depends on the accuracy of the noise PSD estimate. The noise PSD can be underestimated or overestimated. An underestimate of . generally leads to an undersuppression of the noisy speech, and an unnecessarily large amount of resid作者: 洞穴 時(shí)間: 2025-3-28 02:41 作者: deficiency 時(shí)間: 2025-3-28 09:37
Simulation Experiments with Single-Channel Enhancement Systems, an exhaustive comparison of all combinations of sub-algorithms of a speech enhancement system is not possible here. For a comparison of sub-algorithms, such as noise PSD estimators and SPP estimators we refer to the previous sections and the references therein. Instead, in this section we demonstra作者: membrane 時(shí)間: 2025-3-28 13:43 作者: arterioles 時(shí)間: 2025-3-28 16:00 作者: 花費(fèi) 時(shí)間: 2025-3-28 20:11
The Sequence of Insulin and the Configuration of a New Biochemical Form of Work (1943–1962)arrived at Cambridge when medical sciences were dominated by the physiologist Michael Foster and, during the first decades of the twentieth century, had struggled to establish biochemistry as a new discipline at the University. Hopkins was awarded the first Chair in Biochemistry in 1914, and in 1923作者: 祖先 時(shí)間: 2025-3-29 00:14
Book 2017ms. The book is the result of a scientific collaboration among experts from “Alexandru Ioan Cuza” University of Ia?i (Romania), “G. d’Annunzio” University of Chieti-Pescara (Italy), "University of Defence" of Brno (Czech Republic), and "Pablo de Olavide" University of Sevilla (Spain). The heterogene作者: Matrimony 時(shí)間: 2025-3-29 06:17
0233-0962 Werk mit seinem Reichtum an Gedanken tr?gt den Keim zukünftiger Entwicklung in sich: es bereitete den Weg zur Theorie der topologischen, differenzierbaren und komplexen Mannigfaltigkeiten."978-3-663-07819-7Series ISSN 0233-0962
