A Computational Model to Implement Binaural Synthesis in a Hard Real-Time Auditory Virtual Environment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-08

AUTHORS

Fabián C. Tommasini, Oscar A. Ramos, Mercedes X. Hüg, Sebastián P. Ferreyra

ABSTRACT

There is a growing interest in the development and the evaluation of real-time auditory virtual environments (AVE). The implementation of this type of simulation system in general purpose computers is a still a challenge, and there are few studies that evaluated the perceived quality of synthetized sounds of simulated acoustic scenes. To evoke in the listener a correct image of the modeling space, the system must be dynamic and interactive. That is, it must respond to the changes in the acoustic scenario produced by the listener movement, in a perceptually acceptable time and with an update rate that guarantees continuity in the reproduction of sound events. Hard real-time systems ensure that a given task runs within a given time interval, providing deterministic behavior for applications with time restrictions. In the current article, a computational model to implement binaural synthesis in a hard real-time AVE is presented and evaluated. The computer model was implemented in an open-source auralization system. Measurements and real-time simulations on a university classroom were carried out to perform a reverberation time parameters validation and a system performance evaluation. Also, measured and simulated binaural soundtracks (composed from anechoic stimuli) were compared in terms of three selected perceptual attributes for subjective evaluations of static positions. The results showed that real-time performance was acceptable according to values previously reported in the literature and that computer prediction errors for the measured parameters were within the subjective difference limens. The computational model was able to generate an AVE with an acceptable overall perceptual quality. More... »

PAGES

1-16

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40857-019-00152-7

DOI

http://dx.doi.org/10.1007/s40857-019-00152-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112634642


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Scientific and Technical Research Council", 
          "id": "https://www.grid.ac/institutes/grid.423606.5", 
          "name": [
            "Centro de Investigaci\u00f3n y Transferencia en Ac\u00fastica (CINTRA), Universidad Tecnol\u00f3gica Nacional - Facultad Regional C\u00f3rdoba, CONICET. Maestro M. L\u00f3pez esq. Cruz Roja Argentina, 5000, C\u00f3rdoba, Argentina", 
            "Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Godoy Cruz 2290. 1425, Buenos Aires, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tommasini", 
        "givenName": "Fabi\u00e1n C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Scientific and Technical Research Council", 
          "id": "https://www.grid.ac/institutes/grid.423606.5", 
          "name": [
            "Centro de Investigaci\u00f3n y Transferencia en Ac\u00fastica (CINTRA), Universidad Tecnol\u00f3gica Nacional - Facultad Regional C\u00f3rdoba, CONICET. Maestro M. L\u00f3pez esq. Cruz Roja Argentina, 5000, C\u00f3rdoba, Argentina", 
            "Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Godoy Cruz 2290. 1425, Buenos Aires, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ramos", 
        "givenName": "Oscar A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of C\u00f3rdoba", 
          "id": "https://www.grid.ac/institutes/grid.10692.3c", 
          "name": [
            "Centro de Investigaci\u00f3n y Transferencia en Ac\u00fastica (CINTRA), Universidad Tecnol\u00f3gica Nacional - Facultad Regional C\u00f3rdoba, CONICET. Maestro M. L\u00f3pez esq. Cruz Roja Argentina, 5000, C\u00f3rdoba, Argentina", 
            "Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Godoy Cruz 2290. 1425, Buenos Aires, Argentina", 
            "Facultad de Psicolog\u00eda, Universidad Nacional de C\u00f3rdoba, Bv. de la Reforma esq. Enfermera Gordillo, 5000, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "H\u00fcg", 
        "givenName": "Mercedes X.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Technological University", 
          "id": "https://www.grid.ac/institutes/grid.440485.9", 
          "name": [
            "Centro de Investigaci\u00f3n y Transferencia en Ac\u00fastica (CINTRA), Universidad Tecnol\u00f3gica Nacional - Facultad Regional C\u00f3rdoba, CONICET. Maestro M. L\u00f3pez esq. Cruz Roja Argentina, 5000, C\u00f3rdoba, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferreyra", 
        "givenName": "Sebasti\u00e1n P.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3813/aaa.918562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004206356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apacoust.2016.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008908490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apacoust.2007.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010179394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3813/aaa.918778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013716767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ifacol.2016.12.080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017232353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.specom.2011.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023174055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3813/aaa.918106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026088262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3813/aaa.918116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031398262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apacoust.2004.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033716194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3169/itej.61.1427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035840205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3169/itej.61.1427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035840205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apacoust.2010.05.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038046964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.3579145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043115404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lsp.2017.2648794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061379941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tasl.2009.2035038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061516439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/taslp.2016.2635027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061517942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.1570439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062268390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.1641020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062269426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2216768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062311952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2431331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062313360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2743161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062314197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2934364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062317665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2934368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062317669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.2936367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062319361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.3455837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062325490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.382599", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062333894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.390983", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062342275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.398336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062349628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.416249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062367536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.422547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062373813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.427147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062378402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.428321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062379576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.4788978", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062397954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.4802897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062398421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.4966267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062410076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.4971422", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062412220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1155/2007/70540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063202377", 
          "https://doi.org/10.1155/2007/70540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17743/jaes.2014.0042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068448186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17743/jaes.2016.0057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083982209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/app7030224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084434789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1121/1.5005606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092093333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icot.2015.7498514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094851474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/aspaa.2001.969552", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094981125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/aspaa.1997.625594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095194207"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-08", 
    "datePublishedReg": "2019-03-08", 
    "description": "There is a growing interest in the development and the evaluation of real-time auditory virtual environments (AVE). The implementation of this type of simulation system in general purpose computers is a still a challenge, and there are few studies that evaluated the perceived quality of synthetized sounds of simulated acoustic scenes. To evoke in the listener a correct image of the modeling space, the system must be dynamic and interactive. That is, it must respond to the changes in the acoustic scenario produced by the listener movement, in a perceptually acceptable time and with an update rate that guarantees continuity in the reproduction of sound events. Hard real-time systems ensure that a given task runs within a given time interval, providing deterministic behavior for applications with time restrictions. In the current article, a computational model to implement binaural synthesis in a hard real-time AVE is presented and evaluated. The computer model was implemented in an open-source auralization system. Measurements and real-time simulations on a university classroom were carried out to perform a reverberation time parameters validation and a system performance evaluation. Also, measured and simulated binaural soundtracks (composed from anechoic stimuli) were compared in terms of three selected perceptual attributes for subjective evaluations of static positions. The results showed that real-time performance was acceptable according to values previously reported in the literature and that computer prediction errors for the measured parameters were within the subjective difference limens. The computational model was able to generate an AVE with an acceptable overall perceptual quality.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40857-019-00152-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1038508", 
        "issn": [
          "0814-6039", 
          "1839-2571"
        ], 
        "name": "Acoustics Australia", 
        "type": "Periodical"
      }
    ], 
    "name": "A Computational Model to Implement Binaural Synthesis in a Hard Real-Time Auditory Virtual Environment", 
    "pagination": "1-16", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d4ef885c63a0e6af34b28c145af3853ddf3b309252579d934e8e62794369f63c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40857-019-00152-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112634642"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40857-019-00152-7", 
      "https://app.dimensions.ai/details/publication/pub.1112634642"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:19", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000354_0000000354/records_11707_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40857-019-00152-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40857-019-00152-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40857-019-00152-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40857-019-00152-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40857-019-00152-7'


 

This table displays all metadata directly associated to this object as RDF triples.

211 TRIPLES      21 PREDICATES      67 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40857-019-00152-7 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na8622dcb078c422884ae265475422878
4 schema:citation sg:pub.10.1155/2007/70540
5 https://doi.org/10.1016/j.apacoust.2004.08.006
6 https://doi.org/10.1016/j.apacoust.2007.02.006
7 https://doi.org/10.1016/j.apacoust.2010.05.011
8 https://doi.org/10.1016/j.apacoust.2016.07.009
9 https://doi.org/10.1016/j.ifacol.2016.12.080
10 https://doi.org/10.1016/j.specom.2011.05.004
11 https://doi.org/10.1109/aspaa.1997.625594
12 https://doi.org/10.1109/aspaa.2001.969552
13 https://doi.org/10.1109/icot.2015.7498514
14 https://doi.org/10.1109/lsp.2017.2648794
15 https://doi.org/10.1109/tasl.2009.2035038
16 https://doi.org/10.1109/taslp.2016.2635027
17 https://doi.org/10.1121/1.1570439
18 https://doi.org/10.1121/1.1641020
19 https://doi.org/10.1121/1.2216768
20 https://doi.org/10.1121/1.2431331
21 https://doi.org/10.1121/1.2743161
22 https://doi.org/10.1121/1.2934364
23 https://doi.org/10.1121/1.2934368
24 https://doi.org/10.1121/1.2936367
25 https://doi.org/10.1121/1.3455837
26 https://doi.org/10.1121/1.3579145
27 https://doi.org/10.1121/1.382599
28 https://doi.org/10.1121/1.390983
29 https://doi.org/10.1121/1.398336
30 https://doi.org/10.1121/1.416249
31 https://doi.org/10.1121/1.422547
32 https://doi.org/10.1121/1.427147
33 https://doi.org/10.1121/1.428321
34 https://doi.org/10.1121/1.4788978
35 https://doi.org/10.1121/1.4802897
36 https://doi.org/10.1121/1.4966267
37 https://doi.org/10.1121/1.4971422
38 https://doi.org/10.1121/1.5005606
39 https://doi.org/10.17743/jaes.2014.0042
40 https://doi.org/10.17743/jaes.2016.0057
41 https://doi.org/10.3169/itej.61.1427
42 https://doi.org/10.3390/app7030224
43 https://doi.org/10.3813/aaa.918106
44 https://doi.org/10.3813/aaa.918116
45 https://doi.org/10.3813/aaa.918562
46 https://doi.org/10.3813/aaa.918778
47 schema:datePublished 2019-03-08
48 schema:datePublishedReg 2019-03-08
49 schema:description There is a growing interest in the development and the evaluation of real-time auditory virtual environments (AVE). The implementation of this type of simulation system in general purpose computers is a still a challenge, and there are few studies that evaluated the perceived quality of synthetized sounds of simulated acoustic scenes. To evoke in the listener a correct image of the modeling space, the system must be dynamic and interactive. That is, it must respond to the changes in the acoustic scenario produced by the listener movement, in a perceptually acceptable time and with an update rate that guarantees continuity in the reproduction of sound events. Hard real-time systems ensure that a given task runs within a given time interval, providing deterministic behavior for applications with time restrictions. In the current article, a computational model to implement binaural synthesis in a hard real-time AVE is presented and evaluated. The computer model was implemented in an open-source auralization system. Measurements and real-time simulations on a university classroom were carried out to perform a reverberation time parameters validation and a system performance evaluation. Also, measured and simulated binaural soundtracks (composed from anechoic stimuli) were compared in terms of three selected perceptual attributes for subjective evaluations of static positions. The results showed that real-time performance was acceptable according to values previously reported in the literature and that computer prediction errors for the measured parameters were within the subjective difference limens. The computational model was able to generate an AVE with an acceptable overall perceptual quality.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree false
53 schema:isPartOf sg:journal.1038508
54 schema:name A Computational Model to Implement Binaural Synthesis in a Hard Real-Time Auditory Virtual Environment
55 schema:pagination 1-16
56 schema:productId N0b4c9a110f23483d9c9e8d570ded6e7b
57 N1cbfda32005044bfa3e462c50869c009
58 N749a717fa4734802bdae6ba1d3e600b6
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112634642
60 https://doi.org/10.1007/s40857-019-00152-7
61 schema:sdDatePublished 2019-04-11T11:19
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N36bd58b80f854cd482396f9598142d40
64 schema:url https://link.springer.com/10.1007%2Fs40857-019-00152-7
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N03361ecce3334fc3b4b7680b1ce8b587 schema:affiliation https://www.grid.ac/institutes/grid.10692.3c
69 schema:familyName Hüg
70 schema:givenName Mercedes X.
71 rdf:type schema:Person
72 N0b4c9a110f23483d9c9e8d570ded6e7b schema:name dimensions_id
73 schema:value pub.1112634642
74 rdf:type schema:PropertyValue
75 N1cbfda32005044bfa3e462c50869c009 schema:name doi
76 schema:value 10.1007/s40857-019-00152-7
77 rdf:type schema:PropertyValue
78 N2b68f3555ec149398849965a56166856 schema:affiliation https://www.grid.ac/institutes/grid.423606.5
79 schema:familyName Ramos
80 schema:givenName Oscar A.
81 rdf:type schema:Person
82 N36bd58b80f854cd482396f9598142d40 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N484eb9c8907345969d52ac15df173368 rdf:first N03361ecce3334fc3b4b7680b1ce8b587
85 rdf:rest N75962d1514e1415f800e340c984e4087
86 N749a717fa4734802bdae6ba1d3e600b6 schema:name readcube_id
87 schema:value d4ef885c63a0e6af34b28c145af3853ddf3b309252579d934e8e62794369f63c
88 rdf:type schema:PropertyValue
89 N75962d1514e1415f800e340c984e4087 rdf:first Na9bf1341b1554d6f8db6e4fc1eb6229a
90 rdf:rest rdf:nil
91 Na8622dcb078c422884ae265475422878 rdf:first Naa0c70a8b20442b08c64b862ed7d1b4a
92 rdf:rest Nee6f91641f124030ba73489527e40681
93 Na9bf1341b1554d6f8db6e4fc1eb6229a schema:affiliation https://www.grid.ac/institutes/grid.440485.9
94 schema:familyName Ferreyra
95 schema:givenName Sebastián P.
96 rdf:type schema:Person
97 Naa0c70a8b20442b08c64b862ed7d1b4a schema:affiliation https://www.grid.ac/institutes/grid.423606.5
98 schema:familyName Tommasini
99 schema:givenName Fabián C.
100 rdf:type schema:Person
101 Nee6f91641f124030ba73489527e40681 rdf:first N2b68f3555ec149398849965a56166856
102 rdf:rest N484eb9c8907345969d52ac15df173368
103 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
104 schema:name Information and Computing Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
107 schema:name Artificial Intelligence and Image Processing
108 rdf:type schema:DefinedTerm
109 sg:journal.1038508 schema:issn 0814-6039
110 1839-2571
111 schema:name Acoustics Australia
112 rdf:type schema:Periodical
113 sg:pub.10.1155/2007/70540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063202377
114 https://doi.org/10.1155/2007/70540
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.apacoust.2004.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033716194
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.apacoust.2007.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010179394
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.apacoust.2010.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038046964
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.apacoust.2016.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008908490
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.ifacol.2016.12.080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017232353
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.specom.2011.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023174055
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1109/aspaa.1997.625594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095194207
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1109/aspaa.2001.969552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094981125
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1109/icot.2015.7498514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094851474
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1109/lsp.2017.2648794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061379941
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/tasl.2009.2035038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061516439
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1109/taslp.2016.2635027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061517942
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1121/1.1570439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062268390
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1121/1.1641020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062269426
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1121/1.2216768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062311952
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1121/1.2431331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062313360
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1121/1.2743161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062314197
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1121/1.2934364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062317665
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1121/1.2934368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062317669
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1121/1.2936367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062319361
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1121/1.3455837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062325490
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1121/1.3579145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043115404
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1121/1.382599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062333894
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1121/1.390983 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062342275
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1121/1.398336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062349628
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1121/1.416249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062367536
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1121/1.422547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062373813
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1121/1.427147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062378402
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1121/1.428321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062379576
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1121/1.4788978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062397954
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1121/1.4802897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062398421
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1121/1.4966267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062410076
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1121/1.4971422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062412220
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1121/1.5005606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092093333
183 rdf:type schema:CreativeWork
184 https://doi.org/10.17743/jaes.2014.0042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068448186
185 rdf:type schema:CreativeWork
186 https://doi.org/10.17743/jaes.2016.0057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083982209
187 rdf:type schema:CreativeWork
188 https://doi.org/10.3169/itej.61.1427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035840205
189 rdf:type schema:CreativeWork
190 https://doi.org/10.3390/app7030224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084434789
191 rdf:type schema:CreativeWork
192 https://doi.org/10.3813/aaa.918106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026088262
193 rdf:type schema:CreativeWork
194 https://doi.org/10.3813/aaa.918116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031398262
195 rdf:type schema:CreativeWork
196 https://doi.org/10.3813/aaa.918562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004206356
197 rdf:type schema:CreativeWork
198 https://doi.org/10.3813/aaa.918778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013716767
199 rdf:type schema:CreativeWork
200 https://www.grid.ac/institutes/grid.10692.3c schema:alternateName National University of Córdoba
201 schema:name Centro de Investigación y Transferencia en Acústica (CINTRA), Universidad Tecnológica Nacional - Facultad Regional Córdoba, CONICET. Maestro M. López esq. Cruz Roja Argentina, 5000, Córdoba, Argentina
202 Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290. 1425, Buenos Aires, Argentina
203 Facultad de Psicología, Universidad Nacional de Córdoba, Bv. de la Reforma esq. Enfermera Gordillo, 5000, Córdoba, Argentina
204 rdf:type schema:Organization
205 https://www.grid.ac/institutes/grid.423606.5 schema:alternateName National Scientific and Technical Research Council
206 schema:name Centro de Investigación y Transferencia en Acústica (CINTRA), Universidad Tecnológica Nacional - Facultad Regional Córdoba, CONICET. Maestro M. López esq. Cruz Roja Argentina, 5000, Córdoba, Argentina
207 Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290. 1425, Buenos Aires, Argentina
208 rdf:type schema:Organization
209 https://www.grid.ac/institutes/grid.440485.9 schema:alternateName National Technological University
210 schema:name Centro de Investigación y Transferencia en Acústica (CINTRA), Universidad Tecnológica Nacional - Facultad Regional Córdoba, CONICET. Maestro M. López esq. Cruz Roja Argentina, 5000, Córdoba, Argentina
211 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...