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

reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field;

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A Perspective on Single-channel Frequency-domain Speech Enhancement

reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the;

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A Perspective on Single-Channel Frequency-Domain Speech Enhancement

reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the;

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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy

, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously;

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Optimal Time-Domain Noise Reduction Filters

general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze;

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Noise Reduction Based on Microphone Array and Post-Filtering

. The book describes the theory, implementation and applications of multi-channel noise reduction for robust hands-free speech recognition;

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Fundamentals of Speech Enhancement

. The book unifies all aspects of speech enhancement, from single channel, multichannel, beamforming, time domain, frequency domain and time;

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Phase-based Speech Processing

phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art;

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Phase-based Speech Processing

phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art;

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Speech Enhancement in the Karhunen-Loeve Expansion Domain

linear models for speech enhancement in the KLE domain. For each model, we introduce signal processing measures to quantify the performance;

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Speech Enhancement in the STFT Domain

) for any given subband and frame, the noise reduction is basically achieved by liftering the subbands and frames that are less noisy while;

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Speech Enhancement

listeners compensate for acoustic noise in noisy environments. Written by a pioneer in speech enhancement and noise reduction in cochlear implants;

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Speech Enhancement

listeners compensate for acoustic noise in noisy environments. Written by a pioneer in speech enhancement and noise reduction in cochlear implants;

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Speech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for;

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Digital Speech Transmission

extension of speech signals; single and multi-channel noise reduction; and, acoustic echo cancellation. This text is an invaluable resource for;

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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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Noise Reduction in Speech Applications

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for;

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Speech Recognition and Processing

Speech recognition technique has proven to be significantly beneficial in the domain of Artificial Intelligence. This book is based on;

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Sound Capture and Processing

of building systems or computer peripherals for speech enhancement with a comprehensive overview of the technologies, devices and algorithms required;

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Distant Speech Recognition

background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far;

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Audio Source Separation and Speech Enhancement

., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their;

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Advanced Digital Signal Processing and Noise Reduction

, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise;

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Robust Parallel Speech Recognition

frequency domain. Each of the speech recognizers extracts a different word chain from the audio signal. In the end the word chains are merged to;

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Telephone Speech Enhancement for the Hearing Impaired

hearing processes, studies bandwidth extension procedures as a solution and introduces fuzzy logic for future enhancements to speech encoding. All;

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Array Beamforming with Linear Difference Equations

adaptive ones. Furthermore, the authors show how to apply the theory of difference equations to the general problem of speech enhancement, and;

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Environmental Methods for Transport Noise Reduction

Presents Evidence-Based Guidance on Noise Abatement Methods Solutions for reducing the noise impact of road and rail traffic can be;

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Acoustic Array Systems

Presents a unified framework of far-field and near-field array techniques for noise source identification and sound field visualization;

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