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Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation

Tom Barker, Tuomas Virtanen
2014 2014 International Joint Conference on Neural Networks (IJCNN)  
Specifically, the proposed semi-supervised method outperformed both semi-supervised non-negative matrix factorisation and blind non-negative modulation spectrum tensor factorisation.  ...  A mixture signal is separated through factorisation of a feature-tensor representation, based on the modulation spectrogram.  ...  Non-negative matrix factorisation (NMF) and non-negative tensor factorisation (NTF) produce state-of-the-art blind single source separation [5] , [6] , [7] , [8] .  ... 
doi:10.1109/ijcnn.2014.6889522 dblp:conf/ijcnn/BarkerV14 fatcat:dckn45sdh5d7thpjtdjlrzsdui

Non-Negative Matrix Factorization Based Algorithms to Cluster Frequency Basis Functions for Monaural Sound Source Separation

Rajesh Jaiswal
2013
The Non negative Matrix Factorisation For musical analysis, non-negative matrix factorization (NMF) has been [23] shown to be a useful decomposition of audio spectrograms.  ...  In recent years, many factorisation techniques, such as Non-negative Matrix Factorisation (NMF) [23] of magnitude spectrograms have been proposed to separate out sources from spectrograms [24, 28, 25  ... 
doi:10.21427/d7v894 fatcat:2rtg5f5lwnc6rixuaqzquba6ny

Blind Source Separation: New Proof of Bounded Component Analysis and Nonnegative Matrix Factorization Algorithms for Monaural Audio [article]

Holly Gao
2020
NMF can be used not only for unsupervised BSS, but also for semi-supervised and supervised BSS.  ...  Typically, semi-supervised and supervised NMF can obtain better separation performance than unsupervised NMF.  ... 
doi:10.26182/5f3b7ca5bba0b fatcat:t56bhknatbcgznspodhvqxubp4

Deep learning for speech separation

Alfredo Zermini
2020
In this thesis, we study the problem of speech separation, with a varying degree of complexity with respect to room reverberation, the number of speech sources and the number of microphones available for  ...  Speech source separation aims to estimate one or more individual sources from mixtures of multiple sound sources, e.g. speech, noise and music.  ...  Non-negative Matrix Factorisation (NMF) Non-negative Matrix Factorisation (NMF) aims to decompose a non-negative matrix X ∈ R R×T into the multiplication of two non-negative matrices A ∈ R R×G and S ∈  ... 
doi:10.15126/thesis.00854147 fatcat:lojqk6jpzfcl5ax3ax3rdlu22u

A virtual auditory environment for investigating the auditory signal processing of realistic sounds

Sylvain Favrot, Jörg M. Buchholz
2008 Journal of the Acoustical Society of America  
Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ...  One such technique, that has been particularly successful, is non-negative matrix factorisation ͑NMF͒.  ...  These data are integrated into a Text-To-Speech system using a phoneme to directivity pattern transcription module which also includes a phoneme to viseme model for the agent.  ... 
doi:10.1121/1.2936003 fatcat:ontu6yamdvgbnooet5fe36fm74

Analysis of room transfer function and reverberant signal statistics

Eleftheria Georganti, John Mourjopoulos, Finn Jacobsen
2008 Journal of the Acoustical Society of America  
Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ...  One such technique, that has been particularly successful, is non-negative matrix factorisation ͑NMF͒.  ...  These data are integrated into a Text-To-Speech system using a phoneme to directivity pattern transcription module which also includes a phoneme to viseme model for the agent.  ... 
doi:10.1121/1.2935346 fatcat:lxgnqr6tozajhge3ydet3xomam

Temporal suppression and augmentation of click‐evoked otoacoustic emissions

Sarah Verhulst, James M. Harte, Torsten Dau
2008 Journal of the Acoustical Society of America  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1121/1.2935694 fatcat:z6yidzqqendznbmrczb3woaiv4

Temporal suppression and augmentation of click-evoked otoacoustic emissions

Sarah Verhulst, James M. Harte, Torsten Dau
2008 Hearing Research  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1016/j.heares.2008.09.008 pmid:18926894 fatcat:bijdlpxpzfcsrjeefayvvu4pl4

Amplitude modulation depth discrimination in hearing‐impaired and normal‐hearing listeners

Stephan D. Ewert, Jutta Volmer, Torsten Dau, Jesko Verhey
2008 Journal of the Acoustical Society of America  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1121/1.2935715 fatcat:qsqohnv63fdsjgegqb2h5s7r7q

Across‐frequency processes involved in auditory detection of coloration

Jörg M. Buchholz, Paris Kerketsos
2008 Journal of the Acoustical Society of America  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1121/1.2935741 fatcat:acaporn5qvgb5coauovqkbv6lq

Cross‐spectral synergy and consonant identification

Thomas Ulrich Christiansen, Steven Greenberg
2008 Journal of the Acoustical Society of America  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1121/1.2935680 fatcat:znwocm35unasharfwbcap5omim

The perceptual flow of phonetic feature processing

Steven Greenberg, Thomas Ulrich Christiansen
2008 Journal of the Acoustical Society of America  
Annually over 5000 construction sites now use this system approach for separating walls and floors for attached houses and apartments.  ...  Examples are presented for a room with a diffuse sound field, and for elongated rooms where the sound field is strongly non-diffuse, in the case of both diffuse and specular reflections. 3760 Enclosures  ...  Bayesian inference in hierarchical non-negative matrix factorisation models of musical sounds.  ... 
doi:10.1121/1.2935993 fatcat:l2ix2ph575gh7l27xtjq264qkm