소장자료
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245 | 1 | 0 | ▼aAutomatic Assessment of Parkinsonian Speech▼h[electronic resource] :▼bFirst Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20–21, 2019, Revised Selected Papers /▼cedited by Juan I. Godino-Llorente.▲ |
250 | ▼a1st ed. 2020.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2020.▲ | |
300 | ▼aIX, 125 p. 6 illus :▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aCommunications in Computer and Information Science, ▼x1865-0929 ;▼v1295▲ | |
505 | 0 | ▼aAcoustic Analysis and Voice Quality in Parkinson Disease -- Sources of Intraspeaker Variation in Parkinsonian Speech related to Speaking Style -- Review of the prosodic aspect of speech for the automatic detection and assessment of Parkinson’s disease -- Automatic processing of aerodynamic parameters in parkinsonian dysarthria -- Approaches to evaluate parkinsonian speech using artificial models -- Predicting UPDRS scores in Parkinson’s disease using voice signals: a deep learning/transfer-learning-based approach.▲ | |
520 | ▼aThis book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held in Cambridge, Massachusetts, USA, in September 2019. The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics, neurology, and speech therapy.▲ | ||
650 | 0 | ▼aArtificial intelligence.▲ | |
650 | 0 | ▼aComputers.▲ | |
650 | 0 | ▼aOptical data processing.▲ | |
650 | 0 | ▼aApplication software.▲ | |
650 | 0 | ▼aComputer communication systems.▲ | |
650 | 1 | 4 | ▼aArtificial Intelligence.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I21000▲ |
650 | 2 | 4 | ▼aInformation Systems and Communication Service.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I18008▲ |
650 | 2 | 4 | ▼aImage Processing and Computer Vision.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I22021▲ |
650 | 2 | 4 | ▼aComputer Appl. in Social and Behavioral Sciences.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I23028▲ |
650 | 2 | 4 | ▼aComputer Communication Networks.▼0https://scigraph.springernature.com/ontologies/product-market-codes/I13022▲ |
700 | 1 | ▼aGodino-Llorente, Juan I.▼eeditor.▼0(orcid)0000-0001-7348-3291▼1https://orcid.org/0000-0001-7348-3291▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030656539▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030656553▲ |
830 | 0 | ▼aCommunications in Computer and Information Science,▼x1865-0929 ;▼v1295▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-030-65654-6▲ |

Automatic Assessment of Parkinsonian Speech : First Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20–21, 2019, Revised Selected Papers
자료유형
국외eBook
서명/책임사항
Automatic Assessment of Parkinsonian Speech [electronic resource] : First Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20–21, 2019, Revised Selected Papers / edited by Juan I. Godino-Llorente.
판사항
1st ed. 2020.
형태사항
IX, 125 p. 6 illus : online resource.
총서사항
Communications in Computer and Information Science , 1865-0929 ; 1295
Communications in Computer and Information Science , 1865-0929 ; 1295
Communications in Computer and Information Science , 1865-0929 ; 1295
내용주기
Acoustic Analysis and Voice Quality in Parkinson Disease -- Sources of Intraspeaker Variation in Parkinsonian Speech related to Speaking Style -- Review of the prosodic aspect of speech for the automatic detection and assessment of Parkinson’s disease -- Automatic processing of aerodynamic parameters in parkinsonian dysarthria -- Approaches to evaluate parkinsonian speech using artificial models -- Predicting UPDRS scores in Parkinson’s disease using voice signals: a deep learning/transfer-learning-based approach.
요약주기
This book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held in Cambridge, Massachusetts, USA, in September 2019. The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics, neurology, and speech therapy.
주제
ISBN
9783030656546
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