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航空噪声背景下的语音端点检测和语音增强 被引量:6

Voice Activity Detection and Speech Enhancement in Aviation Noise
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摘要 依据航空噪声的频谱特性,分析了利用频域短时能量进行语音端点检测的方法,通过前向和后向语音能量的判别,增加过渡帧来保证语音所表达的语意的连续和完整。对谱减法做进一步改进,以能量为基础对过渡帧进行细分,对语音帧、过渡帧、噪声帧分别进行不同的处理,从而克服了令人厌烦的音乐噪声,在强航空噪声背景下,处理后的语音不仅信噪比得到了很大的提高,而且清晰度和可懂度也得到了很大的改善。这种方法运算简单,具有很好的应用前景。 By analyzing the characteristic of the power spectrum of aviation noise, short-time energy in frequency domain is used to detect voice activity. Transition frames are added based on forward decision and backward decision. What's more, the transition frames are divided into different groups in detail based on energy. With a further improved method of spectral subtraction, speech frames, transition frames, and noise frames are processed separately to get rid of music noise. Experimental results show that the improved method can offer better performances of the speech under strong aviation noise, both SNR and articulation are improved dramatically.
出处 《电声技术》 2006年第1期36-39,共4页 Audio Engineering
关键词 语音端点检测 语音增强 过渡帧 航空噪声 voice activity detection speech enhancement transition frame aviation noise
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