Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia

Journal of Signal Processing Systems(2020)10.1007/s11265-019-01511-3Source: DataRank Database

An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia is a research paper published in Journal of Signal Processing Systems (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

25 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 1.49)OA: closedTopics (23)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Yuzhong Wu,Tan Lee ORCID,Anthony Pak‐Hin Kong ORCID,Ying Qin ORCID

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W3006736300

GRF project grant from the Hong Kong Research Grants Council

Grant: CUHK14227216

National Institutes of Health

Grant: NIH-R01-DC010398

National Institutes of Health

Grant: 5R01DC010398-03

Toward a multi-modal and multi-level analysis of Chinese aphasic discourse

FWCI

1.49

Citation Percentile

0.8%

Citation Trend

2019

2021

2022

2023

2024

2025

2026

closedLicense: Springer TDM

publisherhttp://link.springer.com/content/pdf/10.1007/s11265-019-01511-3.pdf

publisherhttp://link.springer.com/article/10.1007/s11265-019-01511-3/fulltext.html

journalhttps://doi.org/10.1007/s11265-019-01511-3

http://arxiv.org/pdf/1904.00361

https://dx.doi.org/10.48550/arxiv.1904.00361

Fields of Study

Neurobiology of Language and BilingualismNatural Language Processing TechniquesHearing Impairment and Communication03 medical and health sciences0305 other medical science

Keywords

Computer scienceConvolutional neural networkTask (project management)Binary classificationArtificial intelligenceSpeech recognitionEnd-to-end principleAphasiaFeature (linguistics)Feature extractionPattern recognition (psychology)Natural language processingSupport vector machinePsychologyEngineeringAudio and Speech Processing (eess.AS)FOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Audio and Speech Processing

Sustainable Development Goals

SDG 0: Reduced inequalities

An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia

FAIR Checklist

Authors (4)

Funding (3 grants)

Impact

Open Access

Topics