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When it first appeared in the 1970s, The Little Red Schoolbook was banned by the UK authorities, which confiscated copies and prosecuted the publisher under the Obscene Publications Act. Why? Because this little book aimed to educate teenagers about democracy, sex and drugs - in frank, simple language - and encouraged them to view adults as "paper tigers". The Little Red Schoolbook has been unavailable for more than 40 years, but it remains surprisingly relevant for young people today. Reissued here in its original and uncensored format, with informative footnotes and a new foreword by the surviving author Soren Hansen, it encourages teenagers to have the confidence to seek information for themselves, challenge authority and question the status quo.
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 implement a close-to-optimal enhancement system for the particular application at hand. Table of Contents: Introduction / Single Channel Speech Enhancement: General Principles / DFT-Based Speech Enhancement Methods: Signal Model and Notation / Speech DFT Estimators / Speech Presence Probability Estimation / Noise PSD Estimation / Speech PSD Estimation / Performance Evaluation Methods / Simulation Experiments with Single-Channel Enhancement Systems / Future Directions
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