Visiting fellowship in Signal Processing of Nonstationary Signals

非平稳信号信号处理访问学者

• 批准号: EP/F059353/1
• 负责人: Stephen McLaughlin
• 金额: $ 2.38万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF059353%2F1
• 关键词: Visiting; fellowship; Signal; Processing; Nonstationary

For years many researchers in the signal processing applications,such as speech processing, have strived to find compact andeasy-to-handle representations of the waveform. Given thenon-stationary nature of many signals many models have been proposedattempting to capture time-varying features. Although the idea ofestimating time-varying computational models is not a new one, recently published research reports indicate a marked tendency to focus on parameters estimated with high temporal resolution (instantaneous parameters). The results obtained with this research could be applied in the development of :Text to speech systems producing high quality speech.Low bit rate speech coding.Knowledge-based speech recognition.Speech compression for multimedia systems.

多年来，许多研究人员在信号处理的应用，如语音处理，一直在努力寻找紧凑和易于处理的波形表示。鉴于许多信号的非平稳特性，许多模型被提出来试图捕捉时变特征.虽然估计时变计算模型的想法不是一个新的，最近发表的研究报告表明，一个显着的趋势，集中在高时间分辨率估计的参数（瞬时参数）。本研究所取得的成果可应用于以下领域的开发：产生高质量语音的文语转换系统、低比特率语音编码、基于知识的语音识别、多媒体系统的语音压缩。