Multidimensional evaluation and predicting overall speech quality

Multidimensional evaluation and predicting overall speech quality
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多维度评估和预测整体语音质量

DOI:
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发表时间:
2015
期刊:
Interspeech
影响因子:
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通讯作者:
Anna Llagostera
Anna Llagostera
中科院分区:
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文献类型:
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作者:
J. Berger;Anna Llagostera

文献摘要

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传统上,语音样本的质量在主观听力测试中使用ITU-T P.800 [1]中推荐的仅听力测试(LOT)中的5点绝对类别评级(ACR)量表进行评估。这些测试提供语音质量的收听质量方面。还有其他的测试正在讨论中,并提出了详细评估个人的知觉层面的讲话。在本文中,我们研究了在ITU-T P.800 ACR主观测试中获得的整体收听质量与Wältermann [2]提出的四个维度(即噪声、不连续性、着色和响度)中相同信号的评级之间的关系。我们使用的数据库由从ITU-T P.863评估中使用的ACR LOT中提取的条件和语音信号组成,通过模拟和实时电信信道进行处理[3]。已使用上述四个量表对信号进行了重新评分,并预计将作为对ITU-T P.AMD项目的贡献。本文重点研究了在四个维度正交性假设下,基于个体维度评分的ACR LOT评分模型。
The quality of speech samples has been traditionally evaluated in subjective listening tests using 5-point Absolute Category Rating (ACR) scales in Listening Only Tests (LOT) as recommended in ITU-T P.800 [1]. Those tests provide the listening quality aspect of speech quality. There are other tests are under discussion and proposed in order to assess in detail individual perceptual dimensions of speech. In this paper we investigate the relationship between the overall listening quality obtained in an ITU-T P.800 ACR subjective test and the rating of the same signals in four dimensions proposed by Wältermann [2], namely noisiness, discontinuity, coloration and loudness. The database we use is composed of conditions and speech signals extracted from an ACR LOT used in the ITU-T P.863 evaluation, processed by simulated and live telecommunication channels [3]. The signals have been re-scored using the four mentioned scales and are foreseen as contribution to the ITU-T P.AMD project. This paper focuses on the modeling of an ACR LOT score based on individual dimensional ratings under the assumption of orthogonality of the four dimensions.