DFT-domain Based Single-microphone Noise Reduction for Speech Enhancement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook DFT-domain Based Single-microphone Noise Reduction for Speech Enhancement write by Richard C. Hendriks. This book was released on 2013. DFT-domain Based Single-microphone Noise Reduction for Speech Enhancement available in PDF, EPUB and Kindle. Outlines 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, the book provides a concise description of a state-of-the-art speech enhancement system, and demonstrates the relative importance of the various building blocks of such a system.
DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement
DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement write by Richard C. Hendriks. This book was released on 2022-05-31. DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement available in PDF, EPUB and Kindle. 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
Speech Enhancement
Speech Enhancement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Speech Enhancement write by Shoji Makino. This book was released on 2005-03-17. Speech Enhancement available in PDF, EPUB and Kindle. We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.
The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing
The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing write by Talbi Mourad. This book was released on 2022-02-14. The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing available in PDF, EPUB and Kindle. This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more.
A Perspective on Single-Channel Frequency-Domain Speech Enhancement
A Perspective on Single-Channel Frequency-Domain Speech Enhancement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Perspective on Single-Channel Frequency-Domain Speech Enhancement write by Jacob Benesty. This book was released on 2022-05-31. A Perspective on Single-Channel Frequency-Domain Speech Enhancement available in PDF, EPUB and Kindle. This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform (STFT). The simplicity and relative effectiveness of this class of approaches make them the dominant choice in practical systems. Even though many popular algorithms have been proposed through more than four decades of continuous research, there are a number of critical areas where our understanding and capabilities still remain quite rudimentary, especially with respect to the relationship between noise reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the solution is eventually expressed as a gain function applied to the STFT of the noisy signal only in the current frame. As a result, the narrowband signal-to-noise ratio (SNR) cannot be improved, and any gains achieved in noise reduction on the fullband basis come with a price to pay, which is speech distortion. In this book, we present a new perspective on the problem by exploiting the difference between speech and typical noise in circularity and interframe self-correlation, which were ignored in the past. By gathering the STFT of the microphone signal of the current frame, its complex conjugate, and the STFTs in the previous frames, we construct several new, multiple-observation signal models similar to a microphone array system: there are multiple noisy speech observations, and their speech components are correlated but not completely coherent while their noise components are presumably uncorrelated. Therefore, the multichannel Wiener filter and the minimum variance distortionless response (MVDR) filter that were usually associated with microphone arrays will be developed for single-channel noise reduction in this book. This might instigate a paradigm shift geared toward speech distortionless noise reduction techniques. Table of Contents: Introduction / Problem Formulation / Performance Measures / Linear and Widely Linear Models / Optimal Filters with Model 1 / Optimal Filters with Model 2 / Optimal Filters with Model 3 / Optimal Filters with Model 4 / Experimental Study
