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首页> 外文期刊>Advances in Computational Research >DENOISING SPEECH OF MARATHI NUMERALS USING SPECTRAL SUBTRACTION
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DENOISING SPEECH OF MARATHI NUMERALS USING SPECTRAL SUBTRACTION

机译:用谱减法对马拉地马拉数进行降噪

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摘要

This paper presents the denoising technique based on spectral subtraction for speech synthesis of the Marathi numerals. Numerals are recorded through mice and normalized the signals with PRAAT tools. Different form of speech signals were analyzed by added noise in original speech signals. The voice activity detection (VAD) algorithm estimate the noise spectrum of original speech signal. Spectral Subtraction technique is adopted to reduce the noise. It exploits the ability of actively unwanted signals of speech. Spectral Subtraction method has reduced noise and improved the quality of speech signals. This paper concentrates on the application of quality speech signals for speech synthesis and the results found to be satisfactory.
机译:本文提出了一种基于频谱相减的去噪技术,用于马拉地语数字的语音合成。通过小鼠记录数字,并使用PRAAT工具将信号归一化。通过添加原始语音信号中的噪声来分析不同形式的语音信号。语音活动检测(VAD)算法估计原始语音信号的噪声频谱。采用谱减法降低噪声。它利用主动发出不需要的语音信号的能力。频谱减法减少了噪声并提高了语音信号的质量。本文集中于高质量语音信号在语音合成中的应用,结果令人满意。

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