公开(公告)号：US08744846B2

公开(公告)日：2014-06-03

申请号：US12935339

申请日：2008-11-27

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L21/00

CPC分类号： G10L21/0208 ,  G10L15/20

摘要： Provided are a noise state determination method and an apparatus and a computer readable recording medium therefor. A noisy speech signal processing method according to the present invention includes calculating a transformed spectrum by transforming an input noisy speech signal to a frequency domain; calculating a smoothed magnitude spectrum by reducing magnitude differences of the transformed spectrum between neighboring frames; calculating a search spectrum which represents an estimated noise component of the smoothed magnitude spectrum; and calculating an identification ratio which represents a ratio of a noise component included in the input noisy speech signal, by using the smoothed magnitude spectrum and the search spectrum. Since a small amount of calculation is required and a large-capacity memory is not required, the present invention may be easily implemented as hardware or software. Also, since an adaptive operation is performed with respect to each frequency sub-band, the accuracy of determining a noise state may be improved.

摘要翻译： 提供了一种噪声状态确定方法及其装置和计算机可读记录介质。 根据本发明的噪声语音信号处理方法包括：通过将输入噪声语音信号变换为频域来计算变换频谱; 通过减小相邻帧之间的变换频谱的幅度差来计算平滑幅度谱; 计算表示平滑幅度谱的估计噪声分量的搜索频谱; 以及通过使用平滑的幅度谱和搜索光谱来计算表示包括在输入噪声语音信号中的噪声分量的比率的识别率。 由于需要少量计算并且不需要大容量存储器，因此本发明可以容易地实现为硬件或软件。 此外，由于对于每个频率子带执行自适应操作，因此可以提高确定噪声状态的精度。

公开(公告)号：US20110029305A1

公开(公告)日：2011-02-03

申请号：US12935124

申请日：2009-03-31

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L21/02

CPC分类号： G10L25/48 ,  G10L21/0208

摘要： A noise estimation method for a noisy speech signal according to an embodiment of the present invention includes the steps of approximating a transformation spectrum by transforming an input noisy speech signal to a frequency domain, calculating a smoothed magnitude spectrum having a decreased difference in a magnitude of the transformation spectrum between neighboring frames, calculating a search spectrum to represent an estimated noise component of the smoothed magnitude spectrum, and estimating a noise spectrum by using a recursive average method using an adaptive forgetting factor defined by using the search spectrum. According to an embodiment of the present invention, the amount of calculation for noise estimation is small, and large-capacity memory is not required. Accordingly, the present invention can be easily implemented in hardware or software. Further, the accuracy of noise estimation can be increase because an adaptive procedure can be performed on each frequency sub-band.

摘要翻译： 根据本发明实施例的用于噪声语音信号的噪声估计方法包括以下步骤：通过将输入噪声语音信号变换为频域来近似变换频谱，计算具有减小的幅度差的幅度频谱 相邻帧之间的变换频谱，计算搜索频谱以表示平滑幅度谱的估计噪声分量，以及通过使用使用搜索频谱定义的自适应遗忘因子的递归平均方法来估计噪声谱。 根据本发明的实施例，噪声估计的计算量小，不需要大容量存储器。 因此，本发明可以容易地以硬件或软件实现。 此外，可以增加噪声估计的精度，因为可以对每个频率子带执行自适应过程。

公开(公告)号：US08744845B2

公开(公告)日：2014-06-03

申请号：US12935124

申请日：2009-03-31

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L21/00

CPC分类号： G10L25/48 ,  G10L21/0208

摘要： A noise estimation method for a noisy speech signal according to an embodiment of the present invention includes the steps of approximating a transformation spectrum by transforming an input noisy speech signal to a frequency domain, calculating a smoothed magnitude spectrum having a decreased difference in a magnitude of the transformation spectrum between neighboring frames, calculating a search spectrum to represent an estimated noise component of the smoothed magnitude spectrum, and estimating a noise spectrum by using a recursive average method using an adaptive forgetting factor defined by using the search spectrum. According to an embodiment of the present invention, the amount of calculation for noise estimation is small, and large-capacity memory is not required. Accordingly, the present invention can be easily implemented in hardware or software. Further, the accuracy of noise estimation can be increase because an adaptive procedure can be performed on each frequency sub-band.

摘要翻译： 根据本发明实施例的用于噪声语音信号的噪声估计方法包括以下步骤：通过将输入噪声语音信号变换为频域来近似变换频谱，计算具有减小的幅度差的幅度频谱 相邻帧之间的变换频谱，计算搜索频谱以表示平滑幅度谱的估计噪声分量，以及通过使用使用搜索频谱定义的自适应遗忘因子的递归平均方法来估计噪声谱。 根据本发明的实施例，噪声估计的计算量小，不需要大容量存储器。 因此，本发明可以容易地以硬件或软件实现。 此外，可以增加噪声估计的精度，因为可以对每个频率子带执行自适应过程。

公开(公告)号：US08694311B2

公开(公告)日：2014-04-08

申请号：US12935390

申请日：2009-03-31

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L21/02

CPC分类号： G10L21/0208 ,  G10L21/0216

摘要： A sound quality improvement method for a noisy speech signal according to an embodiment of the present invention comprises the steps of estimating a noise signal of an input noisy speech signal by performing a predetermined noise estimation procedure for the noisy speech signal; measuring a relative magnitude difference to represent a relative difference between the noisy speech signal and the estimated noise signal; calculating a modified overweighting gain function with a non-linear structure in which a relatively high gain is allocated to a low-frequency band than a high-frequency band by using the relative magnitude difference; and obtaining an enhanced speech signal by multiplying the noisy speech signal and a time-varying gain function obtained by using the overweighting gain function. Accordingly, the amount of calculation for noise estimation is small, and large-capacity memory is not required. Furthermore, the present invention can be easily implemented in hardware or software, and the accuracy of noise estimation can be increase because an adaptive procedure can be performed on each frequency sub-band.

摘要翻译： 根据本发明的实施例的用于噪声语音信号的音质改进方法包括以下步骤：通过对噪声语音信号执行预定的噪声估计过程来估计输入噪声语音信号的噪声信号; 测量相对幅度差以表示噪声语音信号和估计噪声信号之间的相对差; 通过使用所述相对幅度差，以非线性结构计算修正的超重增益函数，其中通过使用所述相对幅度差将相对高的增益分配给比所述高频带的低频带; 以及通过将噪声语音信号与通过使用超重增益函数获得的时变增益函数相乘来获得增强语音信号。 因此，噪声估计的计算量小，不需要大容量存储器。 此外，本发明可以容易地在硬件或软件中实现，并且可以增加噪声估计的精度，因为可以对每个频率子带执行自适应过程。

公开(公告)号：US20110029310A1

公开(公告)日：2011-02-03

申请号：US12935339

申请日：2008-11-27

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L15/20

CPC分类号： G10L21/0208 ,  G10L15/20

摘要： Provided are a noise state determination method and an apparatus and a computer readable recording medium therefor. A noisy speech signal processing method according to the present invention includes calculating a transformed spectrum by transforming an input noisy speech signal to a frequency domain; calculating a smoothed magnitude spectrum by reducing magnitude differences of the transformed spectrum between neighboring frames; calculating a search spectrum which represents an estimated noise component of the smoothed magnitude spectrum; and calculating an identification ratio which represents a ratio of a noise component included in the input noisy speech signal, by using the smoothed magnitude spectrum and the search spectrum. Since a small amount of calculation is required and a large-capacity memory is not required, the present invention may be easily implemented as hardware or software. Also, since an adaptive operation is performed with respect to each frequency sub-band, the accuracy of determining a noise state may be improved.

摘要翻译： 提供了一种噪声状态确定方法及其装置和计算机可读记录介质。 根据本发明的噪声语音信号处理方法包括：通过将输入噪声语音信号变换为频域来计算变换频谱; 通过减小相邻帧之间的变换频谱的幅度差来计算平滑幅度谱; 计算表示平滑幅度谱的估计噪声分量的搜索频谱; 以及通过使用平滑的幅度谱和搜索光谱来计算表示包括在输入噪声语音信号中的噪声分量的比率的识别率。 由于需要少量计算并且不需要大容量存储器，因此本发明可以容易地实现为硬件或软件。 此外，由于对于每个频率子带执行自适应操作，因此可以提高确定噪声状态的精度。

公开(公告)号：US08935159B2

公开(公告)日：2015-01-13

申请号：US13864935

申请日：2013-04-17

申请人： Seong-Soo Park ,  Seong Il Jeong ,  Dong Gyung Ha ,  Jae Hoon Song

发明人： Seong-Soo Park ,  Seong Il Jeong ,  Dong Gyung Ha ,  Jae Hoon Song

IPC分类号： G10L21/00 ,  G10L21/0208

CPC分类号： G10L21/0208

摘要： Disclosed is the system and method to remove noises in voice signals in a voice communication. The at least one embodiment of the present disclosure performs a spectral subtraction (SS) for voice signals based on a gain function by a spectral subtraction apparatus, performs clustering of voice signals consecutive on a frequency axis of a spectrogram for the voice signals in which the spectral subtraction has been already performed to designate one or more clusters, and extracts musical noises by determining continuity of each of the designated clusters on the frequency axis and a time axis of the spectrogram to extract musical noises.

摘要翻译： 公开了在语音通信中消除语音信号中的噪声的系统和方法。 本公开的至少一个实施例基于频谱减法装置的增益函数来执行用于语音信号的频谱减法（SS），在声频信号的频谱图的频率轴上连续执行语音信号的聚类，其中， 已经执行频谱减法来指定一个或多个簇，并通过确定频率轴上的每个指定簇的连续性和频谱图的时间轴来提取音乐噪声来提取音乐噪声。

公开(公告)号：US20130226573A1

公开(公告)日：2013-08-29

申请号：US13864935

申请日：2013-04-17

申请人： Seong-Soo PARK ,  Seong Il JEONG ,  Dong Gyung HA ,  Jae Hoon SONG

发明人： Seong-Soo PARK ,  Seong Il JEONG ,  Dong Gyung HA ,  Jae Hoon SONG

IPC分类号： G10L21/0208

CPC分类号： G10L21/0208

摘要： Disclosed is the system and method to remove noises in voice signals in a voice communication. The at least one embodiment of the present disclosure performs a spectral subtraction (SS) for voice signals based on a gain function by a spectral subtraction apparatus, performs clustering of voice signals consecutive on a frequency axis of a spectrogram for the voice signals in which the spectral subtraction has been already performed to designate one or more clusters, and extracts musical noises by determining continuity of each of the designated clusters on the frequency axis and a time axis of the spectrogram to extract to musical noises.

摘要翻译： 公开了在语音通信中消除语音信号中的噪声的系统和方法。 本公开的至少一个实施例基于频谱减法装置的增益函数来执行用于语音信号的频谱减法（SS），在声频信号的频谱图的频率轴上连续执行语音信号的聚类，其中， 已经执行频谱减法来指定一个或多个簇，并且通过确定频率轴上的每个指定簇的连续性和频谱图的时间轴提取到音乐噪声来提取音乐噪声。

公开(公告)号：US20110022383A1

公开(公告)日：2011-01-27

申请号：US12935390

申请日：2009-03-31

申请人： Sung Il Jung ,  Dong Gyung Ha

发明人： Sung Il Jung ,  Dong Gyung Ha

IPC分类号： G10L21/02

CPC分类号： G10L21/0208 ,  G10L21/0216

摘要： A sound quality improvement method for a noisy speech signal according to an embodiment of the present invention comprises the steps of estimating a noise signal of an input noisy speech signal by performing a predetermined noise estimation procedure for the noisy speech signal; measuring a relative magnitude difference to represent a relative difference between the noisy speech signal and the estimated noise signal; calculating a modified overweighting gain function with a non-linear structure in which a relatively high gain is allocated to a low-frequency band than a high-frequency band by using the relative magnitude difference; and obtaining an enhanced speech signal by multiplying the noisy speech signal and a time-varying gain function obtained by using the overweighting gain function. Accordingly, the amount of calculation for noise estimation is small, and large-capacity memory is not required. Furthermore, the present invention can be easily implemented in hardware or software, and the accuracy of noise estimation can be increase because an adaptive procedure can be performed on each frequency sub-band.

摘要翻译： 根据本发明的实施例的用于噪声语音信号的音质改进方法包括以下步骤：通过对噪声语音信号执行预定的噪声估计过程来估计输入噪声语音信号的噪声信号; 测量相对幅度差以表示噪声语音信号和估计噪声信号之间的相对差; 通过使用所述相对幅度差，以非线性结构计算修正的超重增益函数，其中通过使用所述相对幅度差将相对高的增益分配给比所述高频带的低频带; 以及通过将噪声语音信号与通过使用超重增益函数获得的时变增益函数相乘来获得增强语音信号。 因此，噪声估计的计算量小，不需要大容量存储器。 此外，本发明可以容易地在硬件或软件中实现，并且可以增加噪声估计的精度，因为可以对每个频率子带执行自适应过程。