Suppr超能文献

一个根据混合的目标信号和干扰信号预测双耳对言语可懂度优势的模型。

A model that predicts the binaural advantage to speech intelligibility from the mixed target and interferer signals.

作者信息

Cosentino Stefano, Marquardt Torsten, McAlpine David, Culling John F, Falk Tiago H

机构信息

Ear Institute, University College London, London, United Kingdom.

School of Psychology, Cardiff University, Tower Building, Cardiff, United Kingdom.

出版信息

J Acoust Soc Am. 2014 Feb;135(2):796-807. doi: 10.1121/1.4861239.

Abstract

A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the right and left recordings at the two ears containing mixed target and interferer signals. This auditory-inspired model implements an equalization-cancellation stage to predict the binaural unmasking (BU) component, in conjunction with a modulation-frequency estimation block to estimate the "better ear" effect (BE) component of the binaural advantage. The model's performance was compared to experimental data obtained under anechoic and reverberant conditions using a single speech-shaped noise interferer paradigm. The internal BU and BE components were compared to those of the speech intelligibility model recently proposed by Lavandier et al. [J. Acoust. Soc. Am. 131, 218-231 (2012)], which requires separate inputs for target and interferer. The data indicate that the proposed model provides comparably good predictions from a mixed-signals input under both anechoic and reverberant conditions.

摘要

提出了一种模型,该模型通过分析两只耳朵包含混合目标和干扰信号的左右声道录音来预测双耳对言语可懂度的优势。这个受听觉启发的模型实现了一个均衡消除阶段来预测双耳掩蔽(BU)成分,同时结合一个调制频率估计模块来估计双耳优势的“较好耳”效应(BE)成分。使用单个语音形状噪声干扰范式,将该模型的性能与在无回声和混响条件下获得的实验数据进行了比较。将模型内部的BU和BE成分与Lavandier等人最近提出的言语可懂度模型[《美国声学学会杂志》131, 218 - 231 (2012)]的成分进行了比较,后者需要目标和干扰信号的单独输入。数据表明,所提出的模型在无回声和混响条件下从混合信号输入都能提供相当好的预测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验