| 000 | 02853nam a2200433 i 4500 | ||
|---|---|---|---|
| 999 |
_c127665 _d127665 _x1 |
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| 001 | 127665 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114311.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 200812s2020 gw | fo |||| 0|eng d | ||
| 020 | _a9783030003869 | ||
| 024 | 7 |
_a10.1007/978-3-030-00386-9 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aTK5102.9 _b2020 EB |
|
| 245 | 0 | 4 |
_aThe Technology of Binaural Understanding _cedited by Jens Blauert, Jonas Braasch |
| 250 | _aFirst edition 2020 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020 |
|
| 300 |
_a1 recurso en línea (XI, 815 páginas) _b213 ilustraciones, 152 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aModern Acoustics and Signal Processing _x2364-4915 |
|
| 490 | 0 | _aEngineering (SpringerNature-11647) | |
| 490 | 0 | _aEngineering (R0) (SpringerNature-43712) | |
| 505 | 0 | _aPart 1: Forming and Interpreting Aural Objects: Effects and Models -- Part 2: Configuring and Understanding Aural-Space -- Part 3: Processing Cross-modal Inference -- Part 4: Evaluating Aural-scene Quality and Speech Understanding -- Part 5: Applying Cognitive Mechanisms in Audio Technology. . | |
| 520 | 3 | _aThis book offers a computational framework for modeling active exploratory listening that assigns meaning to auditory scenes. Understanding auditory perception and cognitive processes involved with our interaction with the world are of high relevance for a vast variety of ICT systems and applications. Human beings do not react according to what they perceive, but rather, they react on the grounds of what the percepts mean to them in their current action-specific, emotional and cognitive situation. Thus, while many models that mimic the signal processing involved in human visual and auditory processing have been proposed, these models cannot predict the experience and reactions of human users. This book presents a model that incorporates both signal-driven (bottom-up), and hypothesis-driven (top-down) processing. | |
| 988 | _aSpringer_Engineering_2020 | ||
| 650 | 7 |
_2embne _9150609 _aProceso digital de señales |
|
| 650 | 7 |
_2embne _aAcústica _9138038 |
|
| 700 |
_aBlauert, Jens _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _987826 |
||
| 700 | 1 |
_aBraasch, Jonas _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9671354 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-00386-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_dz _b12/2020 _eb |
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