公开(公告)号：US08050916B2

公开(公告)日：2011-11-01

申请号：US13085149

申请日：2011-04-12

Applicant: Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

IPC: G10L15/20 ,  G10L11/04 ,  G10L15/04

CPC classification number: G10L25/81 ,  G10L2025/786

Abstract: A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present invention, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.

Abstract translation: 公开了一种信号分类方法和装置。 信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定 如果比率低于第二阈值，则将当前信号帧作为音乐帧。 在本发明的实施例中，信号的频谱波动方差被用作分类信号的参数，并且应用局部统计方法来确定信号的类型。 因此，信号分为几个参数，简单的逻辑关系和低复杂度。

公开(公告)号：US20120215541A1

公开(公告)日：2012-08-23

申请号：US13458524

申请日：2012-04-27

Applicant: Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

IPC: G10L19/00 ,  G10L11/00

CPC classification number: G10L25/78 ,  G10L2025/786

Abstract: A signal identifying method includes obtaining signal characteristics of a current frame of input signals; deciding, according to the signal characteristics of the current frame and updated signal characteristics of a background signal frame before the current frame, whether the current frame is a background signal frame; detecting whether the current frame serving as a background signal frame is in a first type signal state; and adjusting a signal classification decision threshold according to whether the current frame serving as a background signal frame is in the first type signal state to enhance the speech signal identification capability.

Abstract translation: 信号识别方法包括获得输入信号的当前帧的信号特性; 根据当前帧的信号特性和当前帧之前的背景信号帧的更新信号特征，确定当前帧是否是背景信号帧; 检测用作背景信号帧的当前帧是否处于第一类信号状态; 以及根据作为背景信号帧的当前帧是否处于第一类型信号状态来调整信号分类判定阈值，以增强语音信号识别能力。

公开(公告)号：US20120197642A1

公开(公告)日：2012-08-02

申请号：US13445439

申请日：2012-04-12

Applicant: Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

IPC: G10L15/08

CPC classification number: G10L25/78 ,  G10L2025/786

Abstract: Embodiments of the present invention relate to a signal identifying method, including: obtaining signal characteristics of a current frame of input signals; deciding, according to the signal characteristics of the current frame and updated signal characteristics of a background signal frame before the current frame, whether the current frame is a background signal frame; detecting whether the current frame serving as a background signal frame is in a first type signal state; and adjusting a signal classification decision threshold according to whether the current frame serving as a background signal frame is in the first type signal state to enhance the speech signal identification capability.

Abstract translation: 本发明的实施例涉及一种信号识别方法，包括：获得输入信号的当前帧的信号特性; 根据当前帧的信号特性和当前帧之前的背景信号帧的更新信号特征，确定当前帧是否是背景信号帧; 检测用作背景信号帧的当前帧是否处于第一类信号状态; 以及根据作为背景信号帧的当前帧是否处于第一类型信号状态来调整信号分类判定阈值，以增强语音信号识别能力。

公开(公告)号：US20110178796A1

公开(公告)日：2011-07-21

申请号：US13085149

申请日：2011-04-12

Applicant: Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zhe Wang ,  Eyal Shlomot

IPC: G10L19/14

CPC classification number: G10L25/81 ,  G10L2025/786

Abstract: A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present invention, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.

Abstract translation: 公开了一种信号分类方法和装置。 信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定 如果比率低于第二阈值，则将当前信号帧作为音乐帧。 在本发明的实施例中，信号的频谱波动方差被用作分类信号的参数，并且应用局部统计方法来确定信号的类型。 因此，信号分为几个参数，简单的逻辑关系和低复杂度。

公开(公告)号：US08438021B2

公开(公告)日：2013-05-07

申请号：US12979994

申请日：2010-12-28

Applicant: Yuanyuan Liu ,  Zho Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zho Wang ,  Eyal Shlomot

IPC: G10L15/20 ,  G10L11/04 ,  G10L15/04

CPC classification number: G10L25/81 ,  G10L2025/786

Abstract: A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.

Abstract translation: 公开了一种信号分类方法和装置。 信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定 如果比率低于第二阈值，则将当前信号帧作为音乐帧。 在本公开的实施例中，信号的频谱波动方差被用作用于对信号进行分类的参数，并且应用局部统计方法来确定信号的类型。 因此，信号分为几个参数，简单的逻辑关系和低复杂度。

公开(公告)号：US20110093260A1

公开(公告)日：2011-04-21

申请号：US12979994

申请日：2010-12-28

Applicant: Yuanyuan Liu ,  Zho Wang ,  Eyal Shlomot

Inventor： Yuanyuan Liu ,  Zho Wang ,  Eyal Shlomot

IPC: G10L19/00

CPC classification number: G10L25/81 ,  G10L2025/786

Abstract: A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.

Abstract translation: 公开了一种信号分类方法和装置。 信号分类方法包括：获取确定为前景帧的当前信号帧的频谱波动参数，并缓冲频谱波动参数; 根据所有缓冲信号帧的频谱波动参数获得当前信号帧的频谱波动方差，并缓存频谱波动方差; 并且计算频谱波动方差高于或等于第一阈值的信号帧对所有缓冲信号帧的比率，以及如果比率高于或等于第二阈值则确定当前信号帧为语音帧，或者确定 如果比率低于第二阈值，则将当前信号帧作为音乐帧。 在本公开的实施例中，信号的频谱波动方差被用作用于对信号进行分类的参数，并且应用局部统计方法来确定信号的类型。 因此，信号分为几个参数，简单的逻辑关系和低复杂度。

公开(公告)号：US08635063B2

公开(公告)日：2014-01-21

申请号：US12321950

申请日：2009-01-26

Applicant: Yang Gao ,  Eyal Shlomot

Inventor： Yang Gao ,  Eyal Shlomot

IPC: G10L11/06

CPC classification number: G10L19/12 ,  G10L19/0204 ,  G10L19/09 ,  G10L19/18 ,  G10L19/20 ,  G10L25/90 ,  G10L2019/0002 ,  G10L2019/0016

Abstract: In accordance with one aspect of the invention, a selector supports the selection of a first encoding scheme or the second encoding scheme based upon the detection or absence of the triggering characteristic in the interval of the input speech signal. The first encoding scheme has a pitch pre-processing procedure for processing the input speech signal to form a revised speech signal biased toward an ideal voiced and stationary characteristic. The pre-processing procedure allows the encoder to fully capture the benefits of a bandwidth-efficient, long-term predictive procedure for a greater amount of speech components of an input speech signal than would otherwise be possible. In accordance with another aspect of the invention, the second encoding scheme entails a long-term prediction mode for encoding the pitch on a sub-frame by sub-frame basis. The long-term prediction mode is tailored to where the generally periodic component of the speech is generally not stationary or less than completely periodic and requires greater frequency of updates from the adaptive codebook to achieve a desired perceptual quality of the reproduced speech under a long-term predictive procedure.

Abstract translation: 根据本发明的一个方面，选择器基于输入语音信号的间隔中的触发特性的检测或不存在，支持选择第一编码方案或第二编码方案。 第一编码方案具有用于处理输入语音信号以形成偏向理想有声和静态特征的修正语音信号的音调预处理过程。 预处理过程允许编码器完全捕获带宽有效的长期预测程序的优点，用于输入语音信号的大量语音分量比否则可能的更多。 根据本发明的另一方面，第二编码方案需要一种长期预测模式，用于以子帧为基础对子帧上的音调进行编码。 长期预测模式被定制为语音的大致周期性分量通常不是静止的或小于完全周期性的，并且需要来自自适应码本的更高频率的更新以在长时间内实现再现语音的期望感知质量， 术语预测程序。

公开(公告)号：US08370135B2

公开(公告)日：2013-02-05

申请号：US12820805

申请日：2010-06-22

Applicant: Eyal Shlomot ,  Libin Zhang ,  Jinliang Dai

Inventor： Eyal Shlomot ,  Libin Zhang ,  Jinliang Dai

IPC: G10L21/02

CPC classification number: G10L19/012

Abstract: An encoding method includes extracting background noise characteristic parameters within a hangover period, for a first superframe after the hangover period, performing background noise encoding based on the extracted background noise characteristic parameters, for superframes after the first superframe, performing background noise characteristic parameter extraction and DTX decision for each frame in the superframes after the first superframe, and for the superframes after the first superframe, performing background noise encoding based on extracted background noise characteristic parameters of the current superframe, background noise characteristic parameters of a plurality of superframes previous to the current superframe, and a final DTX decision. Also, a decoding method and apparatus and an encoding apparatus are disclosed. Bandwidth occupancy may be reduced substantially while the signal quality may be guaranteed.

Abstract translation: 一种编码方法，包括：在宿醉期后，针对第一超帧，在所述宿醉期后提取背景噪声特性参数，对所述第一超帧之后的超帧执行基于所提取的背景噪声特性参数的背景噪声编码，执行背景噪声特征参数提取，以及 在第一超帧之后的超帧中的每帧的DTX决定以及第一超帧之后的超帧，基于提取的当前超帧的背景噪声特性参数执行背景噪声编码，在先前的多个超帧之前的多个超帧的背景噪声特性参数 目前的超帧，最后的DTX决定。 另外，公开了一种解码方法和装置以及编码装置。 可以在保证信号质量的同时大幅度减小带宽占用。

公开(公告)号：US08195450B2

公开(公告)日：2012-06-05

申请号：US13199794

申请日：2011-09-08

Applicant: Eyal Shlomot ,  Yang Gao ,  Adil Benyassine

Inventor： Eyal Shlomot ,  Yang Gao ,  Adil Benyassine

IPC: G10L21/00 ,  G10L11/06

CPC classification number: G10L19/24 ,  G10L19/012 ,  G10L19/0208

Abstract: There is provided a method for use by a speech encoder to encode an input speech signal. The method comprises receiving the input speech signal; determining whether the input speech signal includes an active speech signal or an inactive speech signal; low-pass filtering the inactive speech signal to generate a narrowband inactive speech signal; high-pass filtering the inactive speech signal to generate a high-band inactive speech signal; encoding the narrowband inactive speech signal using a narrowband inactive speech encoder to generate an encoded narrowband inactive speech; generating a low-to-high auxiliary signal by the narrowband inactive speech encoder based on the narrowband inactive speech signal; encoding the high-band inactive speech signal using a wideband inactive speech encoder to generate an encoded wideband inactive speech based on the low-to-high auxiliary signal from the narrowband inactive speech encoder; and transmitting the encoded narrowband inactive speech and the encoded wideband inactive speech.

Abstract translation: 提供了一种由语音编码器用于对输入语音信号进行编码的方法。 该方法包括接收输入语音信号; 确定所述输入语音信号是否包括活动语音信号或无效语音信号; 低通滤波无效语音信号以产生窄带无效语音信号; 高通滤波无效语音信号以产生高频带无效语音信号; 使用窄带无源语音编码器对窄带无源语音信号进行编码，以生成编码窄带无效语音; 基于窄带无效语音信号，由窄带无源语音编码器生成低到高的辅助信号; 使用宽带无源语音编码器对高频带无效语音信号进行编码，以根据来自窄带无源语音编码器的低到高辅助信号产生编码的宽带无效语音; 以及发送编码的窄带无效语音和编码的宽带无效语音。

公开(公告)号：US20100217753A1

公开(公告)日：2010-08-26

申请号：US12772190

申请日：2010-05-01

Applicant: Eyal Shlomot ,  Jinliang Dai ,  Fuliang Yin ,  Xin Ma ,  Jun Zhang

Inventor： Eyal Shlomot ,  Jinliang Dai ,  Fuliang Yin ,  Xin Ma ,  Jun Zhang

IPC: G06F17/30

CPC classification number: G10L19/06 ,  G10L19/07 ,  G10L2019/0005 ,  G10L2019/0007 ,  H03M7/3082

Abstract: The invention discloses a multi-stage quantization method, which includes the following steps: obtaining a reference codebook according to a previous stage codebook; obtaining a current stage codebook according to the reference codebook and a scaling factor; and quantizing an input vector by using the current stage codebook. The invention also discloses a multi-stage quantization device. With the invention, the current stage codebook may be obtained according to the previous stage codebook, by using the correlation between the current stage codebook and the previous stage codebook. As a result, it does not require an independent codebook space for the current stage codebook, which saves the storage space and improves the resource usage efficiency.

Abstract translation: 本发明公开了一种多级量化方法，包括以下步骤：获得根据前一级码本的参考码本; 根据参考码本和缩放因子获得当前阶段码本; 并通过使用当前阶段码本量化输入向量。 本发明还公开了一种多级量化装置。 利用本发明，可以通过使用当前阶段码本和前一级码本之间的相关性，根据前一级码本获得当前级码本。 因此，不需要当前级码本的独立码本空间，可以节省存储空间，提高资源使用效率。