声音分析与再合成时频分辨率的自动适应

IEEE Transactions on Audio Speech and Language Processing Pub Date : 2013-05-01 DOI:10.1109/TASL.2013.2239989

M. Liuni, A. Röbel, E. Matusiak, M. Romito, X. Rodet

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引用次数: 26

摘要

提出了一种基于时频分辨率局部自动适应的声音分析与重合成算法。我们提出的重建公式是高效的，并且在互补频带内以不同时变分辨率进行分析，可以很好地近似原始信号:这是快速算法通常无法实现完美重建的典型情况，这提供了最小化误差。给出了该方法重构误差的理论上限，并给出了一个音乐声音的自动自适应分析和重新合成的例子。

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Automatic Adaptation of the Time-Frequency Resolution for Sound Analysis and Re-Synthesis

We present an algorithm for sound analysis and re-synthesis with local automatic adaptation of time-frequency resolution. The reconstruction formula we propose is highly efficient, and gives a good approximation of the original signal from analyses with different time-varying resolutions within complementary frequency bands: this is a typical case where perfect reconstruction cannot in general be achieved with fast algorithms, which provides an error to be minimized. We provide a theoretical upper bound for the reconstruction error of our method, and an example of automatic adaptive analysis and re-synthesis of a music sound.

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来源期刊

IEEE Transactions on Audio Speech and Language Processing 工程技术-工程：电子与电气

自引率

0.00%

发文量

审稿时长

24.0 months

期刊介绍： The IEEE Transactions on Audio, Speech and Language Processing covers the sciences, technologies and applications relating to the analysis, coding, enhancement, recognition and synthesis of audio, music, speech and language. In particular, audio processing also covers auditory modeling, acoustic modeling and source separation. Speech processing also covers speech production and perception, adaptation, lexical modeling and speaker recognition. Language processing also covers spoken language understanding, translation, summarization, mining, general language modeling, as well as spoken dialog systems.