Machine Learning for Stuttering Detection and Classification in Stuttering Therapy:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2024
|
Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource |
DOI: | 10.25593/open-fau-759 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV049783091 | ||
003 | DE-604 | ||
006 | a m||| 00||| | ||
007 | cr|uuu---uuuuu | ||
008 | 240716s2024 gw |||| o||u| ||||||eng d | ||
015 | |a 24,O07 |2 dnb | ||
016 | 7 | |a 1332939589 |2 DE-101 | |
024 | 7 | |a 10.25593/open-fau-759 |2 doi | |
024 | 7 | |a urn:nbn:de:101:1-2406140503162.772324801913 |2 urn | |
035 | |a (OCoLC)1450736585 | ||
035 | |a (DE-599)DNB1332939589 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a gw |c XA-DE-BY | ||
049 | |a DE-384 |a DE-473 |a DE-703 |a DE-1051 |a DE-824 |a DE-29 |a DE-12 |a DE-91 |a DE-19 |a DE-1049 |a DE-92 |a DE-739 |a DE-898 |a DE-355 |a DE-706 |a DE-20 |a DE-1102 |a DE-860 |a DE-2174 | ||
084 | |8 1\p |a 616.85 |2 23ksdnb | ||
084 | |8 2\p |a 610 |2 23sdnb | ||
100 | 1 | |a Bayerl, Sebastian |e Verfasser |0 (DE-588)1335880348 |4 aut | |
245 | 1 | 0 | |a Machine Learning for Stuttering Detection and Classification in Stuttering Therapy |c vorgelegt von Sebastian Peter Bayerl aus Bad Aibling |
246 | 1 | 3 | |a Maschinelles Lernen zur Detektion und Klassifikaton von Stottern in der Stottertherapie |
264 | 1 | |a Erlangen ; Nürnberg |b Friedrich-Alexander-Universität Erlangen-Nürnberg |c 2024 | |
300 | |a 1 Online-Ressource | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
502 | |b Dissertation |c Friedrich-Alexander-Universität Erlangen-Nürnberg |d 2024 | ||
583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |5 DE-101 |2 pdager | |
650 | 0 | 7 | |8 3\p |a Stottern |0 (DE-588)4127760-0 |2 gnd |
650 | 0 | 7 | |8 4\p |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |
650 | 0 | 7 | |8 5\p |a Sprachverarbeitung |0 (DE-588)4116579-2 |2 gnd |
650 | 0 | 7 | |8 6\p |a Therapie |0 (DE-588)4059798-2 |2 gnd |
653 | |a stuttering | ||
653 | |a pathological speech | ||
653 | |a stammering | ||
653 | |a machine learning | ||
653 | |a dysfluency | ||
653 | |a disfluency | ||
653 | |a paralinguistics | ||
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
856 | 4 | 0 | |u https://open.fau.de/handle/openfau/31279 |x Verlag |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u https://doi.org/10.25593/open-fau-759 |x Verlag |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:101:1-2406140503162.772324801913 |x Resolving-System |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u https://d-nb.info/1332939589/34 |x Langzeitarchivierung Nationalbibliothek |z kostenfrei |3 Volltext |
883 | 0 | |8 1\p |a emakn |c 0,37773 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emakn | |
883 | 0 | |8 2\p |a emasg |c 0,66988 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emasg | |
883 | 0 | |8 3\p |a emagnd |c 0,21819 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emagnd | |
883 | 0 | |8 4\p |a emagnd |c 0,08500 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emagnd | |
883 | 0 | |8 5\p |a emagnd |c 0,06372 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emagnd | |
883 | 0 | |8 6\p |a emagnd |c 0,05477 |d 20240615 |q DE-101 |u https://d-nb.info/provenance/plan#emagnd | |
912 | |a ebook | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035124028 |
Datensatz im Suchindex
_version_ | 1806595922060115968 |
---|---|
adam_text | |
any_adam_object | |
author | Bayerl, Sebastian |
author_GND | (DE-588)1335880348 |
author_facet | Bayerl, Sebastian |
author_role | aut |
author_sort | Bayerl, Sebastian |
author_variant | s b sb |
building | Verbundindex |
bvnumber | BV049783091 |
collection | ebook |
ctrlnum | (OCoLC)1450736585 (DE-599)DNB1332939589 |
doi_str_mv | 10.25593/open-fau-759 |
format | Thesis Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV049783091</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="006">a m||| 00|||</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240716s2024 gw |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">24,O07</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1332939589</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.25593/open-fau-759</subfield><subfield code="2">doi</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:101:1-2406140503162.772324801913</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1450736585</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1332939589</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">616.85</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">610</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bayerl, Sebastian</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1335880348</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine Learning for Stuttering Detection and Classification in Stuttering Therapy</subfield><subfield code="c">vorgelegt von Sebastian Peter Bayerl aus Bad Aibling</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Maschinelles Lernen zur Detektion und Klassifikaton von Stottern in der Stottertherapie</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Erlangen ; Nürnberg</subfield><subfield code="b">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="d">2024</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="5">DE-101</subfield><subfield code="2">pdager</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="8">3\p</subfield><subfield code="a">Stottern</subfield><subfield code="0">(DE-588)4127760-0</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="8">4\p</subfield><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="8">5\p</subfield><subfield code="a">Sprachverarbeitung</subfield><subfield code="0">(DE-588)4116579-2</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="8">6\p</subfield><subfield code="a">Therapie</subfield><subfield code="0">(DE-588)4059798-2</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stuttering</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pathological speech</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stammering</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dysfluency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">disfluency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">paralinguistics</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://open.fau.de/handle/openfau/31279</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.25593/open-fau-759</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:101:1-2406140503162.772324801913</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://d-nb.info/1332939589/34</subfield><subfield code="x">Langzeitarchivierung Nationalbibliothek</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">emakn</subfield><subfield code="c">0,37773</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emakn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">emasg</subfield><subfield code="c">0,66988</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emasg</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">emagnd</subfield><subfield code="c">0,21819</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emagnd</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">4\p</subfield><subfield code="a">emagnd</subfield><subfield code="c">0,08500</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emagnd</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">5\p</subfield><subfield code="a">emagnd</subfield><subfield code="c">0,06372</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emagnd</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">6\p</subfield><subfield code="a">emagnd</subfield><subfield code="c">0,05477</subfield><subfield code="d">20240615</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emagnd</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035124028</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV049783091 |
illustrated | Not Illustrated |
indexdate | 2024-08-06T00:28:50Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035124028 |
oclc_num | 1450736585 |
open_access_boolean | 1 |
owner | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
owner_facet | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
physical | 1 Online-Ressource |
psigel | ebook |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
record_format | marc |
spelling | Bayerl, Sebastian Verfasser (DE-588)1335880348 aut Machine Learning for Stuttering Detection and Classification in Stuttering Therapy vorgelegt von Sebastian Peter Bayerl aus Bad Aibling Maschinelles Lernen zur Detektion und Klassifikaton von Stottern in der Stottertherapie Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 3\p Stottern (DE-588)4127760-0 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Sprachverarbeitung (DE-588)4116579-2 gnd 6\p Therapie (DE-588)4059798-2 gnd stuttering pathological speech stammering machine learning dysfluency disfluency paralinguistics (DE-588)4113937-9 Hochschulschrift gnd-content https://open.fau.de/handle/openfau/31279 Verlag kostenfrei Volltext https://doi.org/10.25593/open-fau-759 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2406140503162.772324801913 Resolving-System kostenfrei Volltext https://d-nb.info/1332939589/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,37773 20240615 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,66988 20240615 DE-101 https://d-nb.info/provenance/plan#emasg 3\p emagnd 0,21819 20240615 DE-101 https://d-nb.info/provenance/plan#emagnd 4\p emagnd 0,08500 20240615 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,06372 20240615 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,05477 20240615 DE-101 https://d-nb.info/provenance/plan#emagnd |
spellingShingle | Bayerl, Sebastian Machine Learning for Stuttering Detection and Classification in Stuttering Therapy 3\p Stottern (DE-588)4127760-0 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Sprachverarbeitung (DE-588)4116579-2 gnd 6\p Therapie (DE-588)4059798-2 gnd |
subject_GND | (DE-588)4127760-0 (DE-588)4193754-5 (DE-588)4116579-2 (DE-588)4059798-2 (DE-588)4113937-9 |
title | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy |
title_alt | Maschinelles Lernen zur Detektion und Klassifikaton von Stottern in der Stottertherapie |
title_auth | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy |
title_exact_search | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy |
title_full | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy vorgelegt von Sebastian Peter Bayerl aus Bad Aibling |
title_fullStr | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy vorgelegt von Sebastian Peter Bayerl aus Bad Aibling |
title_full_unstemmed | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy vorgelegt von Sebastian Peter Bayerl aus Bad Aibling |
title_short | Machine Learning for Stuttering Detection and Classification in Stuttering Therapy |
title_sort | machine learning for stuttering detection and classification in stuttering therapy |
topic | 3\p Stottern (DE-588)4127760-0 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Sprachverarbeitung (DE-588)4116579-2 gnd 6\p Therapie (DE-588)4059798-2 gnd |
topic_facet | Stottern Maschinelles Lernen Sprachverarbeitung Therapie Hochschulschrift |
url | https://open.fau.de/handle/openfau/31279 https://doi.org/10.25593/open-fau-759 https://nbn-resolving.org/urn:nbn:de:101:1-2406140503162.772324801913 https://d-nb.info/1332939589/34 |
work_keys_str_mv | AT bayerlsebastian machinelearningforstutteringdetectionandclassificationinstutteringtherapy AT bayerlsebastian maschinelleslernenzurdetektionundklassifikatonvonstotterninderstottertherapie |