Speech Enhancement Using Multiple Bases Realizations

9308925 DeBrunner本项目的目标是研究使用数字化语音信号的多个基本表示来提高语音增强和语音合成系统的性能。 过去已经表明，对于语音压缩系统，同时使用几个基组比使用单个基组提供更好的能量包装。 本研究将确定使用多个基分解的重建语音的质量，其总体目标是提高数字助听器的性能。 所提出的技术将比较正弦模型为基础的算法和传统的噪声抑制和消除技术。 这项研究是重要的，因为它有可能推进语音增强，语音合成和语音识别领域，以及提供有用的结果，可用于设计新的数字助听器。 ***

9308925 DeBrunner The goal of this project is to investigate the use of multiple bases representations of digitized speech signals to improve the performance of speech enhancement and speech syntheses systems. In the past it has been shown that the use of several basis sets simultaneously provides better energy packing than a single basis set for speech compression systems. This research will determine the quality of reconstructed speech using multiple bases decompositions with the overall objective of improving the performance of digital hearing aids. The proposed technique will be compared to sinusoidal model based algorithms and traditional noise suppression and cancellation techniques. This research is important since it has the potential to advance the fields of speech enhancement, speech synthesis and speech recognition as well as provide useful results that could be used to design new digital hearing aids. ***