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Showing 1 to 8 of 8 for “"spectral subtraction"”.

  1. Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment

    … dereverberation methods, namely acoustic domain spectral subtraction and modulation domain filtering, provide small improvement in speech quality and intelligibility. In this thesis, we study single-channel dereverberation algorithms. Firstly, an upper bound of time-frequency masking (TFM) …

    queens Repository record for Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment (opens in a new tab)

  2. Applications of missing feature theory to speaker recognition

    … compensation methods studied are cepstral mean subtraction, RASTA, and spectral subtraction. Approaches to missing feature theory include missing feature compensation, which removes corrupted features, and missing feature restoration which predicts such features from neighboring features in both …

    mit Repository record for Applications of missing feature theory to speaker recognition (opens in a new tab)

  3. Noise reduction algorithms and performance metrics for improving speech reception in noise by cochlear-implant users

    … of acoustic degradation, N-of-M processing, spectral subtraction, and binaural noise reduction on the intelligibility of CI-processed speech. We assess the ability of the candidate metrics to predict speech reception scores.

    mit Repository record for Noise reduction algorithms and performance metrics for improving speech reception in noise by cochlear-implant users (opens in a new tab)

  4. Speech enhancement using multisensory cooperative computing

    … is proposed. ISM combines morphological and spectral filtering for robust speech separation. A transfer-learning fusion framework maps visual lip movements to speech representations with enhanced temporal modelling. Nonlinear transfer functions and a multi-objective loss incorporating mutual …

    wlv Repository record for Speech enhancement using multisensory cooperative computing (opens in a new tab)

  5. Robust speaker recognition in presence of non-trivial environmental noise (toward greater biometric security)

    … using one of speech enhancement algorithm with spectral subtraction to find the noise in the signal. Training on the fly approach (using both techniques) has been examined using two feature approaches and two different kinds of artificial clean and noisy speech databases collected in different …

    salford Repository record for Robust speaker recognition in presence of non-trivial environmental noise (toward greater biometric security) (opens in a new tab)

  6. Characterization of Microorganisms of Interest to Homeland Security and Public Health Utilizing Liquid Chromatography/Mass Spectrometry

    … organisms. Automated charge state deconvolution, spectral subtraction and spectral mirroring were used to reveal subtle differences in the LC/MS data. Reproducible intact protein biomarkers were discovered based on their unique mass, retention time and relative intensity. These markers were …

    vcu Repository record for Characterization of Microorganisms of Interest to Homeland Security and Public Health Utilizing Liquid Chromatography/Mass Spectrometry (opens in a new tab)

  7. Online parameter selection for source separation using non-negative matrix factorization

    … phone conversation. Current techniques include spectral subtrac- tion and Wiener filtering which are classical DSP techniques to deal with stationary noises. In this document, we aim to present a study on how to use blind source separation algorithms to denoise audio mixtures containing speech …

    uiuc Repository record for Online parameter selection for source separation using non-negative matrix factorization (opens in a new tab)