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020 _a9781493913411
024 7 _a10.1007/978-1-4939-1341-1
_2doi
040 _bspa
_dES-MaUEC
050 4 _aTK7882.S65
_b2015 EB
100 1 _aRamasubramanian, V.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/70831017/
245 1 0 _aUltra Low Bit-Rate Speech Coding
_cby V. Ramasubramanian, Harish Doddala.
264 1 _aNew York, NY
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (VII, 152 páginas 60 ilustraciones, 56 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-737X
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Ultra low bit-rate coders -- Unit selection framework -- Unified and optimal unit-selection framework -- Optimality and complexity considerations -- No residual transmission - Joint spectral-residual quantization.
520 3 _a"Ultra Low Bit-Rate Speech Coding" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization. The book is for research students, academic faculty and researchers, and industry practitioners in the areas of speech processing and speech coding.
988 _aEBSPRINGER_2018
650 7 _aIdentificación de personas
_2embne
_9679662
700 1 _aDoddala, Harish.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iEdición impresa:
_z9781493913428
776 0 8 _iEdición impresa:
_z9781493913404
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-1341-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2018
_dz
_eIG
_zSI