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Titlebook: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement; Richard C. Hendriks,Timo Gerkmann,Jesper Jensen Book 2013 Sprin

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發(fā)表于 2025-3-21 18:20:04 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement
編輯Richard C. Hendriks,Timo Gerkmann,Jesper Jensen
視頻videohttp://file.papertrans.cn/261/260066/260066.mp4
叢書名稱Synthesis Lectures on Speech and Audio Processing
圖書封面Titlebook: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement;  Richard C. Hendriks,Timo Gerkmann,Jesper Jensen Book 2013 Sprin
描述As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere 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 such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field of single-microphone noise reduction for speech enhancement comprises a history of more than 30 years of research. In this survey, we wish to demonstrate the significant advances that have been made during the last decade in the field of discrete Fourier transform domain-based single-channel noise reduction for speech enhancement.Furthermore, our goal is to provide a concise description of a state-of-the-art speech enhancement system, and demonstrate the relative importance 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 implemen
出版日期Book 2013
版次1
doihttps://doi.org/10.1007/978-3-031-02564-8
isbn_softcover978-3-031-01436-9
isbn_ebook978-3-031-02564-8Series ISSN 1932-121X Series E-ISSN 1932-1678
issn_series 1932-121X
copyrightSpringer Nature Switzerland AG 2013
The information of publication is updating

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發(fā)表于 2025-3-21 21:26:13 | 只看該作者
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.
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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.
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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.
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發(fā)表于 2025-3-22 23:05:28 | 只看該作者
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
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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.
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