Blind speech separation
This is the first book to provide a cutting edge reference to the fascinating topic of blind source separation (BSS) for convolved speech mixtures. Through contributions by the foremost experts on the subject, the book provides an up-to-date account of research findings, explains the underlying theo...
Enregistré dans:
| Andre forfattere: | , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Dordrecht :
Springer Netherlands
2007.
Cham : Springer Nature |
| Serier: | Signals and Communication Technology
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Blind Speech Separation, Texte imprimé, 9781402064784 • Blind Speech Separation, Texte imprimé, 9789048115105 • Blind Speech Separation, Texte imprimé, 9789048176519 |
Indholdsfortegnelse:
- Multiple Microphone Blind Speech Separation with ICA
- Convolutive Blind Source Separation for Audio Signals
- Frequency-Domain Blind Source Separation
- Blind Source Separation using Space Time Independent Component Analysis
- TRINICON-based Blind System Identification with Application to Multiple-Source Localization and Separation
- SIMO-Model-Based Blind Source Separation Principle and its Applications
- Independent Vector Analysis for Convolutive Blind Speech Separation
- Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation
- Underdetermined Blind Speech Separation with Sparseness
- The DUET Blind Source Separation Algorithm
- K-means Based Underdetermined Blind Speech Separation
- Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization
- Bayesian Audio Source Separation
- Single Microphone Blind Speech Separation
- Monaural Source Separation
- Probabilistic Decompositions of Spectra for Sound Separation
- Sparsification for Monaural Source Separation
- Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods.