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Diagnostic and Summative Approach for Predicting Speech Communication Quality in a Super-Wideband Context

机译:超宽带上下文中预测语音通信质量的诊断和总结方法

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The quality of speech transmitted through narrowband (300-3400 Hz) and wideband (50-7000 Hz) networks has been a topic of investigation for decades, and models which predict passively experienced transmission quality as well as interactive communication quality are largely available. With the advent of super-wideband (20-14000 Hz) speech communication services, the influence factors of the underlying systems change, and new prediction models become necessary to adequately plan and monitor the resulting quality. Whereas a model for predicting overall listening-only quality in such situations is readily available and standardized, we propose a new framework for predicting speech communication quality as well as its underlying perceptual dimensions and technical root causes of degradations from signals and/or parameters from the network and terminals. The framework offers diagnostic as well as summative information for network planning, optimization and monitoring.
机译:通过窄带(300-3400Hz)和宽带(50-7000Hz)网络传输的语音质量是几十年来调查的主题,并且预测被动经历的传输质量以及交互式通信质量的模型在很大程度上可用。随着超级宽带(20-14000 Hz)语音通信服务的出现,潜在系统的影响因素变化,新的预测模型是充分规划和监控所产生的质量的必要条件。鉴于在这种情况下预测整体侦听质量的模型很容易获得和标准化,我们提出了一种预测语音通信质量的新框架,以及其底层感知尺寸和来自信号和/或参数的降低的劣化的技术根本原因。网络和终端。该框架提供诊断以及网络规划,优化和监控的总结信息。

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