Advances in Nonlinear Speech Processing
Springer Berlin (Verlag)
978-3-642-11508-0 (ISBN)
Keynote Talks.- Multimodal Speech Separation.- Audio Source Separation Using Hierarchical Phase-Invariant Models.- Visual Cortex Performs a Sort of Non-linear ICA.- Contributed Talks.- High Quality Emotional HMM-Based Synthesis in Spanish.- Glottal Source Estimation Using an Automatic Chirp Decomposition.- Automatic Classification of Regular vs. Irregular Phonation Types.- The Hartley Phase Spectrum as an Assistive Feature for Classification.- Speech Enhancement for Automatic Speech Recognition Using Complex Gaussian Mixture Priors for Noise and Speech.- Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture.- Score Function for Voice Activity Detection.- Digital Watermarking: New Speech and Image Applications.- Advances in Ataxia SCA-2 Diagnosis Using Independent Component Analysis.- Spectral Multi-scale Product Analysis for Pitch Estimation from Noisy Speech Signal.- Automatic Formant Tracking Method Using Fourier Ridges.- Robust Features for Speaker-Independent Speech Recognition Based on a Certain Class of Translation-Invariant Transformations.- Time-Frequency Features Extraction for Infant Directed Speech Discrimination.- Wavelet Speech Feature Extraction Using Mean Best Basis Algorithm.- Perceptually Motivated Generalized Spectral Subtraction for Speech Enhancement.- Coding of Biosignals Using the Discrete Wavelet Decomposition.- Reducing Features from Pejibaye Palm DNA Marker for an Efficient Classification.- Mathematical Morphology Preprocessing to Mitigate AWGN Effects: Improving Pitch Tracking Performance in Hard Noise Conditions.- Deterministic Particle Filtering and Application to Diagnosis of a Roller Bearing.- Applications of Cumulants in Speech Processing.- The Growing Hierarchical Recurrent Self Organizing Map for Phoneme Recognition.- Phoneme Recognition Using Sparse Random Projections and Ensemble Classifiers.
Erscheint lt. Verlag | 18.2.2010 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XI, 199 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 338 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | algorithms • classification • component analysis • decistion trees • fractal methods • higher-order statistics • Morphology • nearest neighbour • Neural networks • non-linear approximation • non-linear differential equations • non-linear estimation • non-linear oscillators • non-linear predictors • Non-linear Systems • non-parametric models • Speech processing • Speech Recognition |
ISBN-10 | 3-642-11508-X / 364211508X |
ISBN-13 | 978-3-642-11508-0 / 9783642115080 |
Zustand | Neuware |
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