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020 _a9783030957117
024 7 _a10.1007/978-3-030-95711-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ335
_b2022 EB
245 1 0 _aArtificial Intelligence and Speech Technology :
_bThird International Conference, AIST 2021, Delhi, India, November 12-13, 2021, Revised Selected Papers
_cedited by Amita Dev, S. S. Agrawal, Arun Sharma
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publising
_c2022
300 _a1 recurso en línea (XVII, 676 páginas)
_b349 ilustraciones, 247 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1546
520 _aThis volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.
988 _aSpringer_Computer_2022
650 7 _2embne
_aInteligencia artificial
_vCongresos y asambleas
_9413115
700 1 _aDev, Amita
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAgrawal, S. S.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSharma, Arun
_eeditor literario
_0(orcid)0000-0002-9404-4519
_1https://orcid.org/0000-0002-9404-4519
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030957100
776 0 8 _iPrinted edition:
_z9783030957124
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95711-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998 _b03/2022
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