LEADER 00878nam0-22002651i-450- 001 990001218430403321 035 $a000121843 035 $aFED01000121843 035 $a(Aleph)000121843FED01 035 $a000121843 100 $a20000920d1970----km-y0itay50------ba 101 0 $aeng 200 1 $aIsoperimetric inequalities in the theory of surfaces of bounded external curvature.$fby Burago YU.D. 210 $aNew York$cConsultants Bureau$d1970. 225 1 $aSeminar in Mathematics - V.A. Steklov Mathematical Institute, Leningrad 300 $aVolume 10.? 700 1$aBurago,$bYu. D.$0349368 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001218430403321 952 $a14-C-10$b9891$fMA1 959 $aMA1 996 $aIsoperimetric inequalities in the theory of surfaces of bounded external curvature$9342998 997 $aUNINA DB $aING01 LEADER 05375nam 22007095 450 001 9910866586503321 005 20240619103829.0 010 $a9789819715497 024 7 $a10.1007/978-981-97-1549-7 035 $a(CKB)32317455800041 035 $a(MiAaPQ)EBC31496607 035 $a(Au-PeEL)EBL31496607 035 $a(DE-He213)978-981-97-1549-7 035 $a(OCoLC)1443084306 035 $a(EXLCZ)9932317455800041 100 $a20240618d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of 27th International Symposium on Frontiers of Research in Speech and Music $eFRSM 2023 /$fedited by Keikichi Hirose, Deepak Joshi, Shankha Sanyal 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (456 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1455 311 08$a9789819715480 327 $aFramework for Detecting Toxic speech using BERT and Deep Learning -- Speech Emotion Classification Using Deep Learning -- ML Based Application for Enhanced Communication With Specially Abled Children -- Acoustic Phonetic Analysis of Vowels of Native Bengali Speakers with Parkinson?s Disease -- Recent Advancement in Accent Conversion using Deep Learning Techniques: A comprehensive review -- Speech Enhancement: Traditional and Deep Learning Techniques -- Continuing CompMusic: New approaches in the computational analysis of Carnatic Music -- An Ethnomusicological study of Darpawngi?s Mizo folksongs: A Cantometric Experiment -- An approach of similarity measure in Hindustani music -- Ornamentation in Hindustani vocal music -- A comparative Study of the non-nasal and nasal voice in Hindustani vocal music -- Regression Approach for Shruthi Identification from Indian Classical Instrumental Polyphonic Audio -- Music-Evoked Emotion Classification from EEG: An Image Based CNN Approach -- Perception of Devotion and Happiness in Indian Spiritual Music: An Acoustical and Audience Response Exploration -- Identifying Correlations Between Hindustani Music And The Brain: A Nonlinear EEG based exploration -- Representation and Analysis of Dynamics for Automatic Music Assessment in Hindustani Vocal Music -- Emotion and Instrument audio classification of Indian Classical Music recordings using transformers -- Styles and Rhythms of musical transitions in Indian Ragas: An Acoustical Exploration -- A statistical approach to the acoustical analysis of harmonics and timbre of tabla strokes. 330 $aThis book features original papers from 27th International Symposium on Frontiers of Research in Speech and Music (FRSM 2023), jointly organized by Sardar Vallabhbhai National Institute of Technology, Surat, India, and Sir C.V. Raman Centre for Physics and Music, Jadavpur University, Kolkata, India, during 4?5 August 2023. The book is organized into four main sections, considering both technological advancement and interdisciplinary nature of speech, music, language and their applications. The first section includes chapters related to computational, modelling and cognitive aspects of the speech signal. The second part contains chapters covering the foundations of both vocal and instrumental music processing with the signal, computational and cognitive aspects. The third section relates to the variety of research being done in the peripheral areas of languages and linguistics with special focus on regional languages of India. A lot of research is being performed within the speech and music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the fourth and final section is dedicated to the chapters related to multidisciplinary applications of speech and music signal processing. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1455 606 $aComputational intelligence 606 $aSignal processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMusic$xMathematics 606 $aMusic$xPhilosophy and aesthetics 606 $aComputational Intelligence 606 $aSignal, Speech and Image Processing 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMathematics in Music 606 $aPhilosophy of Music 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMusic$xMathematics. 615 0$aMusic$xPhilosophy and aesthetics. 615 14$aComputational Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMathematics in Music. 615 24$aPhilosophy of Music. 676 $a302.2242 700 $aHirose$b Keikichi$01769769 701 $aJoshi$b Deepak$01611227 701 $aSanyal$b Shankha$01769770 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910866586503321 996 $aProceedings of 27th International Symposium on Frontiers of Research in Speech and Music$94242405 997 $aUNINA