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公开(公告)号：US08660281B2
公开(公告)日：2014-02-25
申请号：US13147603
申请日：2010-02-03
CPC分类号： G10L21/0208 , G10L2021/02166 , H04R1/1083 , H04R25/43 , H04R2225/43 , H04R2410/01 , H04R2460/01
摘要： A method for a multi microphone noise reduction in a complex noisy environment is proposed. A left and a right noise power spectral density for a left and a right noise input frame is estimated for computing a diffuse noise gain. A target speech power spectral density is extracted from the noise input frame. A directional noise gain is calculated from the target speech power spectral density and the noise power spectral density. The noisy input frame is filtered by Kalman filtering method. A Kalman based gain is generated from the Kalman filtered noisy frame and the noise power spectral density. A spectral enhancement gain is computed by combining the diffuse noise gain, the directional noise gain, and the Kalman based gain. The method reduces different combinations of diverse background noise and increases speech intelligibility, while guaranteeing to preserve the interaural cues of the target speech and directional background noises.
摘要翻译： 提出了一种复杂嘈杂环境中多麦克风降噪的方法。 估计左和右噪声输入帧的左和右噪声功率谱密度用于计算漫反射噪声增益。 从噪声输入帧提取目标语音功率谱密度。 根据目标语音功率谱密度和噪声功率谱密度计算定向噪声增益。 噪声输入帧通过卡尔曼滤波法滤波。 从卡尔曼滤波噪声帧和噪声功率谱密度产生基于卡尔曼的增益。 通过组合漫射噪声增益，方向噪声增益和基于卡尔曼的增益来计算频谱增强增益。 该方法减少了不同背景噪声的不同组合，增加了语音清晰度，同时保证了目标语音和定向背景噪声的昼夜线索。
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公开(公告)号：US20110305345A1
公开(公告)日：2011-12-15
申请号：US13147603
申请日：2010-02-03
CPC分类号： G10L21/0208 , G10L2021/02166 , H04R1/1083 , H04R25/43 , H04R2225/43 , H04R2410/01 , H04R2460/01
摘要： A method for a multi microphone noise reduction in a complex noisy environment is proposed. A left and a right noise power spectral density for a left and a right noise input frame is estimated for computing a diffuse noise gain. A target speech power spectral density is extracted from the noise input frame. A directional noise gain is calculated from the target speech power spectral density and the noise power spectral density. The noisy input frame is filtered by Kalman filtering method. A Kalman based gain is generated from the Kalman filtered noisy frame and the noise power spectral density. A spectral enhancement gain is computed by combining the diffuse noise gain, the directional noise gain, and the Kalman based gain. The method reduces different combinations of diverse background noise and increases speech intelligibility, while guaranteeing to preserve the interaural cues of the target speech and directional background noises.
摘要翻译： 提出了一种复杂嘈杂环境中多麦克风降噪的方法。 估计左和右噪声输入帧的左和右噪声功率谱密度用于计算漫反射噪声增益。 从噪声输入帧提取目标语音功率谱密度。 根据目标语音功率谱密度和噪声功率谱密度计算定向噪声增益。 噪声输入帧通过卡尔曼滤波法滤波。 从卡尔曼滤波噪声帧和噪声功率谱密度产生基于卡尔曼的增益。 通过组合漫射噪声增益，方向噪声增益和基于卡尔曼的增益来计算频谱增强增益。 该方法减少了不同背景噪声的不同组合，增加了语音清晰度，同时保证了目标语音和定向背景噪声的昼夜线索。
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