利用双向处理消除存档音频信号中的脉冲干扰

IEEE Transactions on Audio Speech and Language Processing Pub Date : 2013-05-01 DOI:10.1109/TASL.2013.2244090

M. Niedźwiecki, M. Ciołek

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引用次数: 31

摘要

在这篇面向应用的论文中，我们考虑了从档案录音中消除脉冲干扰的问题，如咔嗒声、砰砰声和记录划痕。该方法基于双向处理，结合前向和后向信号分析结果对噪声脉冲进行定位。基于专门设计的经验测试结果(而不是理论分析结果)，结合被真实脉冲干扰损坏的真实音频文件，我们制定了一套局部的、依赖于案例的融合规则，可用于组合前向和后向检测警报。这使我们能够更准确、更可靠地定位噪声脉冲，与基于单向处理的传统方法相比，性能得到了显著提高。采用人为损坏的音频文件和真实的存档留声机录音仔细验证了所提出的方法。

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Elimination of Impulsive Disturbances From Archive Audio Signals Using Bidirectional Processing

In this application-oriented paper we consider the problem of elimination of impulsive disturbances, such as clicks, pops and record scratches, from archive audio recordings. The proposed approach is based on bidirectional processing-noise pulses are localized by combining the results of forward-time and backward-time signal analysis. Based on the results of specially designed empirical tests (rather than on the results of theoretical analysis), incorporating real audio files corrupted by real impulsive disturbances, we work out a set of local, case-dependent fusion rules that can be used to combine forward and backward detection alarms. This allows us to localize noise pulses more accurately and more reliably, yielding noticeable performance improvements, compared to the traditional methods, based on unidirectional processing. The proposed approach is carefully validated using both artificially corrupted audio files and real archive gramophone recordings.

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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.