Ontology type: schema:Chapter
2014
AUTHORSMitsuko Aramaki , Richard Kronland-Martinet , Sølvi Ystad , Jean-Arthur Micoulaud-Franchi , Jean Vion-Dury
ABSTRACTDifferent trends and perspectives on sound synthesis control issues within a cognitive neuroscience framework are addressed in this article. Two approaches for sound synthesis based on the modelling of physical sources and on the modelling of perceptual effects involving the identification of invariant sound morphologies (linked to sound semiotics) are exposed. Depending on the chosen approach, we assume that the resulting synthesis models can fall under either one of the theoretical frameworks inspired by the representational-computational or enactive paradigms. In particular, a change of viewpoint on the epistemological position of the end-user from a third to a first person inherently involves different conceptualizations of the interaction between the listener and the sounding object. This differentiation also influences the design of the control strategy enabling an expert or an intuitive sound manipulation. Finally, as a perspective to this survey, explicit and implicit brain-computer interfaces (BCI) are described with respect to the previous theoretical frameworks, and a semiotic-based BCI aiming at increasing the intuitiveness of synthesis control processes is envisaged. These interfaces may open for new applications adapted to either handicapped or healthy subjects. More... »
PAGES61-87
Guide to Brain-Computer Music Interfacing
ISBN
978-1-4471-6583-5
978-1-4471-6584-2
http://scigraph.springernature.com/pub.10.1007/978-1-4471-6584-2_4
DOIhttp://dx.doi.org/10.1007/978-1-4471-6584-2_4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1026064927
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/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Laboratory of Mechanics and Acoustics",
"id": "https://www.grid.ac/institutes/grid.463931.a",
"name": [
"Laboratoire de M\u00e9canique et d\u2019Acoustique (LMA), CNRS UPR 7051, Aix-Marseille University, Centrale Marseille, 31, Chemin Joseph Aiguier, 13402\u00a0Marseille Cedex 20, France"
],
"type": "Organization"
},
"familyName": "Aramaki",
"givenName": "Mitsuko",
"id": "sg:person.0746275267.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746275267.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratory of Mechanics and Acoustics",
"id": "https://www.grid.ac/institutes/grid.463931.a",
"name": [
"Laboratoire de M\u00e9canique et d\u2019Acoustique (LMA), CNRS UPR 7051, Aix-Marseille University, Centrale Marseille, 31, Chemin Joseph Aiguier, 13402\u00a0Marseille Cedex 20, France"
],
"type": "Organization"
},
"familyName": "Kronland-Martinet",
"givenName": "Richard",
"id": "sg:person.014364652261.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014364652261.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratory of Mechanics and Acoustics",
"id": "https://www.grid.ac/institutes/grid.463931.a",
"name": [
"Laboratoire de M\u00e9canique et d\u2019Acoustique (LMA), CNRS UPR 7051, Aix-Marseille University, Centrale Marseille, 31, Chemin Joseph Aiguier, 13402\u00a0Marseille Cedex 20, France"
],
"type": "Organization"
},
"familyName": "Ystad",
"givenName": "S\u00f8lvi",
"id": "sg:person.07542472564.23",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07542472564.23"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratoire de Neurosciences Cognitives",
"id": "https://www.grid.ac/institutes/grid.462870.f",
"name": [
"Laboratoire de Neurosciences Cognitives (LNC), CNRS UMR 7291, Aix-Marseille University, Site St Charles, 3, Place Victor Hugo, 13331\u00a0Marseille Cedex 3, France"
],
"type": "Organization"
},
"familyName": "Micoulaud-Franchi",
"givenName": "Jean-Arthur",
"id": "sg:person.01243542721.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243542721.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratoire de Neurosciences Cognitives",
"id": "https://www.grid.ac/institutes/grid.462870.f",
"name": [
"Laboratoire de Neurosciences Cognitives (LNC), CNRS UMR 7291, Aix-Marseille University, Site St Charles, 3, Place Victor Hugo, 13331\u00a0Marseille Cedex 3, France"
],
"type": "Organization"
},
"familyName": "Vion-Dury",
"givenName": "Jean",
"id": "sg:person.01222030171.42",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222030171.42"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.4324/9780203767764",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000070896"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1207/s15326969eco0501_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000936847"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0096-1523.23.4.1232",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006665688"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1097-0193(1999)8:4<194::aid-hbm4>3.0.co;2-c",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008071763"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0167-8760(99)00106-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008081500"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tics.2003.10.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008568449"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1388-2457(02)00057-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009858336"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/a0035441",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011193141"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/brcg.1994.1014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011750044"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neurol.2013.10.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011852219"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-12439-6_21",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014906536",
"https://doi.org/10.1007/978-3-642-12439-6_21"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/014892601750302552",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015869798"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1355771898009030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018662912"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-89222-9_29",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019952237",
"https://doi.org/10.1007/978-3-540-89222-9_29"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-89222-9_29",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019952237",
"https://doi.org/10.1007/978-3-540-89222-9_29"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nn1197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020297320",
"https://doi.org/10.1038/nn1197"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nn1197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020297320",
"https://doi.org/10.1038/nn1197"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-41248-6_8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020760381",
"https://doi.org/10.1007/978-3-642-41248-6_8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amp.2011.02.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021078762"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.3758/bf03193921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021514224",
"https://doi.org/10.3758/bf03193921"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/jocn.2009.21302",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024234618"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-41248-6_6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026924730",
"https://doi.org/10.1007/978-3-642-41248-6_6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0096-1523.10.5.704",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027045571"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmc.1978.4309918",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029108080"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0096-1523.19.2.250",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034577386"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/jocn.2009.21113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035356952"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0028-3932(94)00133-a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040125769"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/383259.383268",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041877811"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1207/s15326969eco0504_2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044380638"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1207/s15326969eco0504_2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044380638"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-02518-1_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047292194",
"https://doi.org/10.1007/978-3-642-02518-1_1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-02518-1_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047292194",
"https://doi.org/10.1007/978-3-642-02518-1_1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-23126-1_12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048133901",
"https://doi.org/10.1007/978-3-642-23126-1_12"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-23126-1_12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048133901",
"https://doi.org/10.1007/978-3-642-23126-1_12"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/jocn.2009.21398",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048728213"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0096-1523.18.3.603",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049018858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.bandc.2006.05.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049834691"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.evopsy.2013.02.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049949201"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4471-6584-2_13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051768641",
"https://doi.org/10.1007/978-1-4471-6584-2_13"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/014892699559797",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052245175"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/mmul.2005.24",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061409933"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/mspec.1970.5212992",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061425462"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/proc.1975.9792",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061443031"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tasl.2009.2037402",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061516461"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tasl.2010.2047755",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061516544"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsa.2005.852984",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061786350"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsa.2005.852984",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061786350"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1121/1.1912679",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062278269"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1121/1.1939648",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062286417"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1121/1.2149839",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062311140"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.7350657",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062645873"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1155/s1110865704402121",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063207986",
"https://doi.org/10.1155/s1110865704402121"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3680222",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070407648"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3680470",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070407830"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2741/2303",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070914628"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/aspaa.2009.5346504",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093177059"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/9780470749012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098662216"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/9780470749012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098662216"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/acprof:oso/9780198522577.001.0001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098718595"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/acprof:oso/9780198524168.001.0001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098745402"
],
"type": "CreativeWork"
}
],
"datePublished": "2014",
"datePublishedReg": "2014-01-01",
"description": "Different trends and perspectives on sound synthesis control issues within a cognitive neuroscience framework are addressed in this article. Two approaches for sound synthesis based on the modelling of physical sources and on the modelling of perceptual effects involving the identification of invariant sound morphologies (linked to sound semiotics) are exposed. Depending on the chosen approach, we assume that the resulting synthesis models can fall under either one of the theoretical frameworks inspired by the representational-computational or enactive paradigms. In particular, a change of viewpoint on the epistemological position of the end-user from a third to a first person inherently involves different conceptualizations of the interaction between the listener and the sounding object. This differentiation also influences the design of the control strategy enabling an expert or an intuitive sound manipulation. Finally, as a perspective to this survey, explicit and implicit brain-computer interfaces (BCI) are described with respect to the previous theoretical frameworks, and a semiotic-based BCI aiming at increasing the intuitiveness of synthesis control processes is envisaged. These interfaces may open for new applications adapted to either handicapped or healthy subjects.",
"editor": [
{
"familyName": "Miranda",
"givenName": "Eduardo Reck",
"type": "Person"
},
{
"familyName": "Castet",
"givenName": "Julien",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-1-4471-6584-2_4",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-1-4471-6583-5",
"978-1-4471-6584-2"
],
"name": "Guide to Brain-Computer Music Interfacing",
"type": "Book"
},
"name": "Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience",
"pagination": "61-87",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-1-4471-6584-2_4"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"7c2c10347b3d3784157e1dfc9db656eb878962070a4b5b3bd807cf028948d1ec"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1026064927"
]
}
],
"publisher": {
"location": "London",
"name": "Springer London",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-1-4471-6584-2_4",
"https://app.dimensions.ai/details/publication/pub.1026064927"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T14:25",
"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/v90/0000000001_0000000264/records_8669_00000259.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-1-4471-6584-2_4"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/978-1-4471-6584-2_4'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-6584-2_4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-6584-2_4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-6584-2_4'
This table displays all metadata directly associated to this object as RDF triples.
270 TRIPLES
23 PREDICATES
80 URIs
20 LITERALS
8 BLANK NODES