المؤلفون: Mohammad Ali Humayun, Hayati Yassin, Pg Emeroylariffion Abas

المصدر: International Journal of Artificial Intelligence (IJ-AI) 12(2) 739-746

مصطلحات موضوعية: Acoustic features, Arabic language, Dialect identification, Linguistic features, Spontaneous speech

العلاقة: https://zenodo.org/record/7455768Test; https://doi.org/10.11591/ijai.v12.i2.pp739-746Test; oai:zenodo.org:7455768

الإتاحة: https://doi.org/10.11591/ijai.v12.i2.pp739-746Test
https://zenodo.org/record/7455768Test

المؤلفون: Scimeca S., Amato F., Olmo G., Asci F., Suppa A., Costantini G., Saggio G.

المساهمون: Scimeca, S, Amato, F, Olmo, G, Asci, F, Suppa, A, Costantini, G, Saggio, G

مصطلحات موضوعية: acoustic features, machine learning, Parkinson's disease, speech analysis, statistical analysis, Settore ING-INF/01 - ELETTRONICA

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37384279; info:eu-repo/semantics/altIdentifier/wos/WOS:001016965100001; volume:14; journal:FRONTIERS IN NEUROLOGY; https://hdl.handle.net/2108/331203Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85164007977

الإتاحة: https://doi.org/10.3389/fneur.2023.1198058Test
https://hdl.handle.net/2108/331203Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s002Test
https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s001Test
https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s004Test
https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s003Test
https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

المؤلفون: Giglioli, Irene Alice Chicchi

المساهمون: Gómez-Zaragozá, Lucía, Marín-Morales, Javier, Vargas, Elena Parra, Chicchi Giglioli, Irene Alice Margherita, Raya, Mariano Alcañiz

مصطلحات موضوعية: Acoustic features, artificial intelligence, attachment, gender, psychometrics, speech analysis, statistical machine learning, voice, Settore M-PSI/01 - PSICOLOGIA GENERALE

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37566508; info:eu-repo/semantics/altIdentifier/wos/WOS:001129955100034; volume:27; issue:11; firstpage:5576; lastpage:5587; numberofpages:12; issueyear:N/A; journal:IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; https://hdl.handle.net/10807/268076Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85167815700

الإتاحة: https://doi.org/10.1109/jbhi.2023.3304369Test
https://hdl.handle.net/10807/268076Test

المؤلفون: Xue, Xiaojiao, Shan, Yixue, Wang, Xinyu, Dunham, Richard Erick

المصدر: Círculo de Lingüística Aplicada a la Comunicación; Vol. 95 (2023): El sistema verbal español en las gramáticas y manuales de español como lengua extranjera, coordinado por María Martínez-Atienza de Dios (Universidad de Córdoba); 263-275 ; 1576-4737

مصطلحات موضوعية: foreign accentedness, language background, L2 proficiency, acoustic features, 外国口音, 语言背景, 二语水平, 声学线索

وصف الملف: application/pdf

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Lingua, 103069. https://doi.org/10.1016/j.lingua.2021.103069Test; https://revistas.ucm.es/index.php/CLAC/article/view/79695Test

الإتاحة: https://revistas.ucm.es/index.php/CLAC/article/view/79695Test

المؤلفون: Hongquan Li, Zhongchang Song, Jiangang Hui, Yingnan Su, Weijie Fu, Shufei Zhang, Lin Yan, Kuoqiu Yan, Honghui Huang, Yu Zhang

المصدر: Journal of Marine Science and Engineering; Volume 11; Issue 4; Pages: 712

مصطلحات موضوعية: Chinese bahaba ( Bahaba taipingensis ), sound production, acoustic features, reproduction season, passive acoustic monitoring

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Marine Ecology; https://dx.doi.org/10.3390/jmse11040712Test

الإتاحة: https://doi.org/10.3390/jmse11040712Test

المؤلفون: Lior Hason, Sri Krishnan

المصدر: Frontiers in Digital Health, Vol 4 (2022)

مصطلحات موضوعية: Alzheimer's disease, spontaneous speech, machine learning, classification, acoustic features, non-stationarity, Medicine, Public aspects of medicine, RA1-1270, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fdgth.2022.901419/fullTest; https://doaj.org/toc/2673-253XTest

الوصول الحر: https://doaj.org/article/7c9beb6e36e34e6b858ac422ac6cb541Test