01213cam0-22003971i-450-99000722758040332120050120092738.0000722758FED01000722758(Aleph)000722758FED0100072275820021021d1968----km-y0itay50------baitaITy-------001yy<<L'>>esercizio del diritto di sciopero[testi di Mazzoni Giuliano, Ghezzi Giorgio... et al.]MilanoGiuffré1968VII, 282 p.24 cmSeminario di preparazione per dirigenti sindacali e aziendali14In testa al front.: Universita di Firenze, Istituto di diritto del lavoro.344344.018 92344.01820itaGhezzi,Giorgio<1932-2005>Mazzoni,GiulianoITUNINARICAUNIMARCBK990007227580403321A-X-42422 lav.DDRCUNIV. 7 (14)10557FSPBCUNIV. 339 (14)85128FGBCDDRCFSPBCFGBCEsercizio del diritto di sciopero687715UNINA03757nam 22006615 450 99646546860331620200803153452.0981-329-196-610.1007/978-981-32-9196-6(CKB)4100000011373005(DE-He213)978-981-32-9196-6(MiAaPQ)EBC6276198(PPN)250213273(EXLCZ)99410000001137300520200803d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPathological Voice Analysis[electronic resource] /by David Zhang, Kebin Wu1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (X, 174 p. 44 illus., 41 illus. in color.) Includes index.981-329-195-8 CHAPTER 1 INTRODUCTION -- CHAPTER 2 PATHOLOGICAL VOICE ACQUISITION -- CHAPTER 3 PITCH ESTIMATION -- CHAPTER 4 GLOTTAL CLOSURE INSTANTS DETECTION -- CHAPTER 5 FEATURE LEARNING -- CHAPTER 6 JOINT LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 7 ROBUST MULTI VIEW DISCRIMINATIVE LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 8 BOOK REVIEW AND FUTURE WORK.While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors’ research on voice analysis for biomedical applications, particularly pathological voice analysis. Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques. This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research. .Pattern recognitionSignal processingImage processingSpeech processing systemsBiomedical engineeringSpeech pathologyPattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XSpeech Pathologyhttps://scigraph.springernature.com/ontologies/product-market-codes/H79000Pattern recognition.Signal processing.Image processing.Speech processing systems.Biomedical engineering.Speech pathology.Pattern Recognition.Signal, Image and Speech Processing.Biomedical Engineering and Bioengineering.Speech Pathology.616.85Zhang Davidauthttp://id.loc.gov/vocabulary/relators/aut763056Wu Kebinauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996465468603316Pathological Voice Analysis2104136UNISA