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Audio Source Separation and Speech Enhancement

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source;

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Audio Source Separation

separation using audio directional statistics modelling, multi-microphone MMSE-based techniques and diffusion map methods. The book brings together;

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Intelligent Audio Analysis

. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows;

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Latent Variable Analysis and Signal Separation

for blind signal separation; deep neural networks for supervised speech separationenhancement; joined analysis of multiple datasets, data;

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Sound Capture and Processing

separation* Generously illustrated with figures and charts to demonstrate how sound capture and audio processing systems work* An accompanying;

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Speech and Audio Signal Processing

When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible;

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Cognitively Inspired Audiovisual Speech Filtering

approaches that make use of this relationship are also discussed. A novel multimodal speech enhancement system, making use of both visual and audio;

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Advances in Nonlinear Speech Processing

organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition;

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Man-Machine Speech Communication

address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and;

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Handbook of Blind Source Separation

engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications;

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Multi-Pitch Estimation

problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly;

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Multi-Pitch Estimation

problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly;

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Speech Enhancement

: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve;

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Speech Enhancement

: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017;

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Advances in Digital Speech Transmission

of communication networks toward Internet based transmission protocols, such as Voice over IP. As a consequence, new speech coding, new enhancement and;

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Fractional Fourier Transform Techniques for Speech Enhancement

This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT;

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Communication By Sound & Voice

in communication acoustics, such as in speech, audio and aided hearing, it is important to understand the time-frequency-space resolution of hearing. This;

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DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement

As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect;

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Signals and Images

of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image;

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Signals and Images

of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image;

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Speech Recognition and Processing

Finland. Topics like speech recognition, noise cancellation, speech enhancement and emotion recognition have been described in this book;

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Speech Enhancement in the Karhunen-Loeve Expansion Domain

enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics;

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Applied Speech And Audio Processing

Applied Speech and Audio Processing is a MATLAB-based, one-stop resource that blends speech and hearing research in describing the key;

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Nonlinear Source Separation

students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When;

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Telephone Speech Enhancement for the Hearing Impaired

and information - Additional noise - Lack of visual cues This book analyzes the factors and explore various telephone speech enhancement;

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Speech & Audio Processing

and future audio, speech, and hearing processing technologies. Topics covered include mobile telephony, human-computer interfacing through;

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