Kwang Myung Jeon, Nam Kyun Kim, Moon Ju Jo, H. Kim
{"title":"多通道室内噪声数据库设计,用于噪声环境下的语音处理","authors":"Kwang Myung Jeon, Nam Kyun Kim, Moon Ju Jo, H. Kim","doi":"10.1109/ICSDA.2017.8384418","DOIUrl":null,"url":null,"abstract":"An indoor noise database is essential for development and assessment of distant speech recognition systems operating in indoor environments. This paper proposes a multi-channel indoor noise database. Each noise signal in the proposed database was recorded using a four-channel linear microphone array located in one corner of a living room in a condominium. Noise sources were generated either by physical actions or loudspeakers at various positions inside the condominium, including five different TV contents and 28 indoor noise sources categorized as repeated, stationary, or moving during the database recording. The indoor noise database was then verified by measuring a direction of arrival for each recorded noise source, which showed that the proposed database was suitable for developing and evaluating multi-channel speech processing algorithms in noisy indoor environments.","PeriodicalId":255147,"journal":{"name":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of multi-channel indoor noise database for speech processing in noise\",\"authors\":\"Kwang Myung Jeon, Nam Kyun Kim, Moon Ju Jo, H. Kim\",\"doi\":\"10.1109/ICSDA.2017.8384418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An indoor noise database is essential for development and assessment of distant speech recognition systems operating in indoor environments. This paper proposes a multi-channel indoor noise database. Each noise signal in the proposed database was recorded using a four-channel linear microphone array located in one corner of a living room in a condominium. Noise sources were generated either by physical actions or loudspeakers at various positions inside the condominium, including five different TV contents and 28 indoor noise sources categorized as repeated, stationary, or moving during the database recording. The indoor noise database was then verified by measuring a direction of arrival for each recorded noise source, which showed that the proposed database was suitable for developing and evaluating multi-channel speech processing algorithms in noisy indoor environments.\",\"PeriodicalId\":255147,\"journal\":{\"name\":\"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSDA.2017.8384418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSDA.2017.8384418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of multi-channel indoor noise database for speech processing in noise
An indoor noise database is essential for development and assessment of distant speech recognition systems operating in indoor environments. This paper proposes a multi-channel indoor noise database. Each noise signal in the proposed database was recorded using a four-channel linear microphone array located in one corner of a living room in a condominium. Noise sources were generated either by physical actions or loudspeakers at various positions inside the condominium, including five different TV contents and 28 indoor noise sources categorized as repeated, stationary, or moving during the database recording. The indoor noise database was then verified by measuring a direction of arrival for each recorded noise source, which showed that the proposed database was suitable for developing and evaluating multi-channel speech processing algorithms in noisy indoor environments.