{"title":"利用非对称三角波形激励信号和多因素翘曲滤波器的Khlui声减法合成","authors":"K. Meesawat","doi":"10.1109/ICEAST.2019.8802595","DOIUrl":null,"url":null,"abstract":"This article provides an approach to determine synthesis parameters to be used to synthesize khlui-phiang-aw sound. An alternative excitation signal, namely the asymmetrical triangle waveform was proposed. The subtractive filter was designed in the warped frequency domain and was dewarped before use. The warping factors used were depended on the pitch frequencies. Subtractive filters for different pitches requires different warping factors. An amount of wind noise was added to the filtered signal. The synthesis process ended with a lowpass filter that removed the high frequency content from the synthesis signal. The tasks described were implemented using Python and is available on a public repository.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Subtractive Synthesis of Khlui Sound using Asymmetrical Triangle Waveform Excitation Signal and Multi-Factor Warped Filters\",\"authors\":\"K. Meesawat\",\"doi\":\"10.1109/ICEAST.2019.8802595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article provides an approach to determine synthesis parameters to be used to synthesize khlui-phiang-aw sound. An alternative excitation signal, namely the asymmetrical triangle waveform was proposed. The subtractive filter was designed in the warped frequency domain and was dewarped before use. The warping factors used were depended on the pitch frequencies. Subtractive filters for different pitches requires different warping factors. An amount of wind noise was added to the filtered signal. The synthesis process ended with a lowpass filter that removed the high frequency content from the synthesis signal. The tasks described were implemented using Python and is available on a public repository.\",\"PeriodicalId\":188498,\"journal\":{\"name\":\"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEAST.2019.8802595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAST.2019.8802595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Subtractive Synthesis of Khlui Sound using Asymmetrical Triangle Waveform Excitation Signal and Multi-Factor Warped Filters
This article provides an approach to determine synthesis parameters to be used to synthesize khlui-phiang-aw sound. An alternative excitation signal, namely the asymmetrical triangle waveform was proposed. The subtractive filter was designed in the warped frequency domain and was dewarped before use. The warping factors used were depended on the pitch frequencies. Subtractive filters for different pitches requires different warping factors. An amount of wind noise was added to the filtered signal. The synthesis process ended with a lowpass filter that removed the high frequency content from the synthesis signal. The tasks described were implemented using Python and is available on a public repository.