语音处理应用中的噪声谱减法
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语音处理应用中的噪声谱减法(中文2000字,英文1000字)
摘要:在本研究中,我们使用谱减法的方法来消除噪声的语音信号。最初,在嘈杂的语音频谱使用快速傅里叶变换(FFT),然后计算出噪声频谱的平均幅度是从带噪语音谱相减。我们应用谱减法的语音信号的“热狗”,我们的数字增加吸尘器噪声。我们实施了噪声去除算法的语音数据存储到数据缓冲区的一半时间丧偶汉宁重叠,计算相应的频谱使用FFT,从带噪语音去噪,重构语音回时域快速傅里叶变换用逆(IFFT)。我们有追索权的语音信噪比(信噪比),以评估所提出的算法的性能。
Abstract:We used Spectral Subtraction in this research as a method to remove noise from speech signals. Initially, the spectrum of the noisy speech is computed using the fast Fourier transform (FFT), then the average magnitude of the noise spectrum is subtracted from the noisy speech spectrum. We applied Spectral Subtraction to the speech signal "Hot dog" to which we digitally added vacuum cleaner noise. We implemented the noise removal algorithm by storing the noisy speech data into Hanning time-widowed half-overlapped data buffers, computing the corresponding spectrums using the FFT, removing the noise from the noisy speech, and reconstructing the speech back into the time domain using the inverse fast Fourier transform (IFFT). We had recourse to the Speech to Noise ratio (SNR )in order to evaluate the peiformance of the proposed algorithm.
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