【24h】

Perception of Alcoholic Intoxication in Speech

机译:言语中酒精中毒的知觉

获取原文

摘要

The ALC sub-challenge of the Interspeech Speaker State Challenge (ISSC) aims at the automatic classification of speech signals into intoxicated and sober speech. In this context we conducted a perception experiment on data derived from the same corpus to analyze the human performance on the same task. The results show that human still outperform comparable baseline results of ISSC. Female and male listeners perform on the same level, but there is strong evidence that intoxication in female voices is easier to be recognized than in male voices. Prosodic features contribute to the decision of human listeners but seem not to be dominant. In analogy to Doddington's zoo of speaker verification we find some evidence for the existence of lambs and goats but no wolves.
机译:语音间说话人状态挑战(ISSC)的ALC子挑战旨在将语音信号自动分类为醉人和清醒的语音。在这种情况下,我们对来自同一语料库的数据进行了感知实验,以分析人类在同一任务上的表现。结果表明,人类仍然胜过ISSC的可比基线结果。男性和女性听众的演奏水平相同,但是有充分的证据表明,女性声音比男性声音更容易被陶醉。韵律特征有助于听众做出决定,但似乎并不占主导地位。与多丁顿的说话人确认动物园类似,我们发现一些证据表明存在羊羔和山羊,但没有狼。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号