人类声音的亲和力:特征分析和神经网络回归方法的自动亲和力估计

2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) Pub Date : 2013-07-01 DOI:10.1109/WIAMIS.2013.6616159

F. Eyben, F. Weninger, E. Marchi, Björn Schuller

{"title":"人类声音的亲和力:特征分析和神经网络回归方法的自动亲和力估计","authors":"F. Eyben, F. Weninger, E. Marchi, Björn Schuller","doi":"10.1109/WIAMIS.2013.6616159","DOIUrl":null,"url":null,"abstract":"Recently, the automatic analysis of likability of a voice has become popular. This work follows up on our original work in this field and provides an in-depth discussion of the matter and an analysis of the acoustic parameters. We investigate the automatic analysis of voice likability in a continuous label space with neural networks as regressors and discuss the relevance of acoustic features. We provide results on the Speaker Likability Database for comparison with previous work and a subset of the TIMIT database for validation.","PeriodicalId":408077,"journal":{"name":"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation\",\"authors\":\"F. Eyben, F. Weninger, E. Marchi, Björn Schuller\",\"doi\":\"10.1109/WIAMIS.2013.6616159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, the automatic analysis of likability of a voice has become popular. This work follows up on our original work in this field and provides an in-depth discussion of the matter and an analysis of the acoustic parameters. We investigate the automatic analysis of voice likability in a continuous label space with neural networks as regressors and discuss the relevance of acoustic features. We provide results on the Speaker Likability Database for comparison with previous work and a subset of the TIMIT database for validation.\",\"PeriodicalId\":408077,\"journal\":{\"name\":\"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIAMIS.2013.6616159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIAMIS.2013.6616159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

最近，自动分析声音的可爱性变得很流行。这项工作是我们在这一领域的原始工作的后续工作，并对该问题进行了深入的讨论和声学参数的分析。我们研究了在连续标签空间中使用神经网络作为回归量的语音可爱度自动分析，并讨论了声学特征的相关性。我们提供了演讲者亲和力数据库的结果，用于与以前的工作进行比较，并提供了TIMIT数据库的子集进行验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation

Recently, the automatic analysis of likability of a voice has become popular. This work follows up on our original work in this field and provides an in-depth discussion of the matter and an analysis of the acoustic parameters. We investigate the automatic analysis of voice likability in a continuous label space with neural networks as regressors and discuss the relevance of acoustic features. We provide results on the Speaker Likability Database for comparison with previous work and a subset of the TIMIT database for validation.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)

自引率

0.00%

发文量