{"title":"NaLMC: HCI中非行为和行为情绪序列的数据库","authors":"Kim Hartmann, J. Krüger, J. Frommer, A. Wendemuth","doi":"10.1145/2818346.2820772","DOIUrl":null,"url":null,"abstract":"We report on the investigation on acted and non-acted emotional speech and the resulting Non-/acted LAST MINUTE corpus (NaLMC) database. The database consists of newly recorded acted emotional speech samples which were designed to allow the direct comparison of acted and non-acted emotional speech. The non-acted samples are taken from the LAST MINUTE corpus (LMC) [1]. Furthermore, emotional labels were added to selected passages of the LMC and a self-rating of the LMC recordings was performed. Although the main objective of the NaLMC database is to allow the comparative analysis of acted and non-acted emotional speech, both audio and video signals were recorded to allow multimodal investigations.","PeriodicalId":20486,"journal":{"name":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI\",\"authors\":\"Kim Hartmann, J. Krüger, J. Frommer, A. Wendemuth\",\"doi\":\"10.1145/2818346.2820772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report on the investigation on acted and non-acted emotional speech and the resulting Non-/acted LAST MINUTE corpus (NaLMC) database. The database consists of newly recorded acted emotional speech samples which were designed to allow the direct comparison of acted and non-acted emotional speech. The non-acted samples are taken from the LAST MINUTE corpus (LMC) [1]. Furthermore, emotional labels were added to selected passages of the LMC and a self-rating of the LMC recordings was performed. Although the main objective of the NaLMC database is to allow the comparative analysis of acted and non-acted emotional speech, both audio and video signals were recorded to allow multimodal investigations.\",\"PeriodicalId\":20486,\"journal\":{\"name\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2818346.2820772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2818346.2820772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI
We report on the investigation on acted and non-acted emotional speech and the resulting Non-/acted LAST MINUTE corpus (NaLMC) database. The database consists of newly recorded acted emotional speech samples which were designed to allow the direct comparison of acted and non-acted emotional speech. The non-acted samples are taken from the LAST MINUTE corpus (LMC) [1]. Furthermore, emotional labels were added to selected passages of the LMC and a self-rating of the LMC recordings was performed. Although the main objective of the NaLMC database is to allow the comparative analysis of acted and non-acted emotional speech, both audio and video signals were recorded to allow multimodal investigations.
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