LEADER 05465nam 22006615 450 001 9910483026803321 005 20200706114330.0 010 $a3-642-38847-7 024 7 $a10.1007/978-3-642-38847-7 035 $a(CKB)2560000000105669 035 $a(DE-He213)978-3-642-38847-7 035 $a(SSID)ssj0000936347 035 $a(PQKBManifestationID)11595541 035 $a(PQKBTitleCode)TC0000936347 035 $a(PQKBWorkID)10963145 035 $a(PQKB)11725007 035 $a(MiAaPQ)EBC3096913 035 $a(PPN)17049277X 035 $a(EXLCZ)992560000000105669 100 $a20130612d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Nonlinear Speech Processing $e6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013, Proceedings /$fedited by Thomas Drugman, Thierry Dutoit 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (X, 217 p. 81 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7911 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-38846-9 327 $aSpeech and Audio Analysis -- Evaluation of Automatic Glottal Source Analysis -- NMF-Based Spectral Analysis for Acoustic Event Classification Tasks -- Efficient GCI Detection for Efficient Sparse Linear Prediction -- Gender Detection in Running Speech from Glottal and Vocal Tract Correlates -- An Efficient Method for Fundamental Frequency Determination of Noisy Speech -- Glottal Source Model Selection for Stationary Singing-Voice by Low-Band Envelope Matching -- Contribution to the Multipitch Estimation by Multi-scale Product Analysis -- Speech Signals Parameterization Based on Auditory Filter Modeling -- Towards a Better Representation of the Envelope Modulation of Aspiration Noise -- Speech Synthesis -- Towards Physically Interpretable Parametric Voice Conversion Functions -- Reduced Search Space Frame Alignment Based on Kullback-Leibler Divergence for Voice Conversion -- Average Voice Modeling Based on Unbiased Decision Trees -- Non-linear Pitch Modification in Voice Conversion Using Artificial Neural Networks -- Speech-Based Biomedical Applications -- Analysis and Quantification of Acoustic Artefacts in Tracheoesophageal Speech -- Analysis of Speech from People with Parkinson?s Disease through Nonlinear Dynamics -- Synthesis by Rule of Disordered Voices -- Towards a Low-Complex Breathing Monitoring System Based on Acoustic Signals -- Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics -- Feature Extraction Approach Based on Fractal Dimension for Spontaneous Speech Modelling Oriented to Alzheimer Disease Diagnosis -- Automatic Speech Recognition -- Robust Hierarchical and Sparse Representation of Natural Sounds in High-Dimensional Space -- On the Importance of Pre-emphasis and Window Shape in Phase-Based Speech Recognition -- Smoothed Nonlinear Energy Operator-Based Amplitude Modulation Features for Robust Speech Recognition -- Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem -- Improved EMD Usable Speech Detection for Co-channel Speaker Identification -- Speech Enhancement -- Speech Enhancement: A Multivariate Empirical Mode Decomposition Approach -- Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding -- A Fast Semi-blind Reverberation Time Estimation Using Non-linear Least Squares Method. 330 $aThis book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition; and speech enhancement. 410 0$aLecture Notes in Artificial Intelligence ;$v7911 606 $aPattern recognition 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aComputer science 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 0$aComputer science. 615 14$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Science, general. 676 $a006.4 702 $aDrugman$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDutoit$b Thierry$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483026803321 996 $aAdvances in Nonlinear Speech Processing$9772502 997 $aUNINA