SYSTEM AND METHOD FOR SPECTRAL ANALYSIS
    2.
    发明申请
    SYSTEM AND METHOD FOR SPECTRAL ANALYSIS 审中-公开
    用于光谱分析的系统和方法

    公开(公告)号:WO2005040739A3

    公开(公告)日:2007-03-01

    申请号:PCT/US2004035724

    申请日:2004-10-22

    CPC classification number: H01J49/0036 G06K9/6242

    Abstract: The system and method for spectral analysis uses a set of spectral data. The spectral data is arranged according to a second dimension, such as time, temperature, position, or other condition. The arranged spectral data is used in a signal separation process, such as an independent component analysis (ICA), which generates independent signals. The independent signals are then used for identifying or quantifying a target component.

    Abstract translation: 光谱分析的系统和方法使用一组光谱数据。 光谱数据根据诸如时间,温度,位置或其他条件的第二维度来布置。 布置的光谱数据用于信号分离过程,例如独立分量分析(ICA),其产生独立的信号。 然后,独立信号用于识别或量化目标分量。

    HEADSET FOR SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT
    3.
    发明申请
    HEADSET FOR SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT 审中-公开
    用于在噪声环境中分离语音信号的耳机

    公开(公告)号:WO2006028587A2

    公开(公告)日:2006-03-16

    申请号:PCT/US2005026195

    申请日:2005-07-22

    Abstract: A headset is constructed to generate an acoustically distinct speech signal in a noisy acoustic environment. The headset positions a pair of spaced-apart microphones near a user's mouth. The microphones each receive the user s speech, and also receive acoustic environmental noise. The microphone signals, which have both a noise and information component, are received into a separation process. The separation process generates a speech signal that has a substantial reduced noise component. The speech signal is then processed for transmission. In one example, the transmission process includes sending the speech signal to a local control module using a Bluetooth radio.

    Abstract translation: 耳机被构造成在噪声声学环境中产生声学上不同的语音信号。 耳机将一对间隔开的麦克风放在用户口附近。 麦克风各自接收用户的语音,并且还接收声学环境噪声。 具有噪声和信息分量的麦克风信号被接收到分离过程中。 分离过程产生具有显着降低的噪声分量的语音信号。 然后处理语音信号进行传输。 在一个示例中,传输过程包括使用蓝牙无线电将语音信号发送到本地控制模块。

    SEPARATION OF TARGET ACOUSTIC SIGNALS IN A MULTI-TRANSDUCER ARRANGEMENT
    4.
    发明申请
    SEPARATION OF TARGET ACOUSTIC SIGNALS IN A MULTI-TRANSDUCER ARRANGEMENT 审中-公开
    目标声学信号在多传感器布置中的分离

    公开(公告)号:WO2006012578A3

    公开(公告)日:2006-08-17

    申请号:PCT/US2005026196

    申请日:2005-07-22

    Abstract: The present invention provides a process (26) for separating a good quality information signal from a noisy acoustic environment (12). The separation process uses a set of a least two spaced-apart transducers (19, 20) to capture noise (13, 15) and information components (14). The transducer signals, which have both a noise and information component, are received into a separation process. The separation process generates one channel that is substantially only noise, and another channel that is a combination of noise and information. An identification process (30) is used to identify which channel has the information component. The noise signal is then used to set process characteristics that are applied to the combination signal to efficiently reduce or eliminate the noise component. In this way, the noise is effectively removed from the combination signal to generate a good qualify information signal. The information signal may be, for example, a speech signal, a seismic signal, a sonar signal, or other acoustic signal.

    Abstract translation: 本发明提供一种用于从良好的声音环境(12)分离出良好质量信息信号的方法(26)。 分离过程使用一组至少两个间隔开的换能器(19,20)来捕获噪声(13,15)和信息分量(14)。 具有噪声和信息分量的换能器信号被接收到分离过程中。 分离过程产生基本上只有噪声的一个信道,以及作为噪声和信息的组合的另一个信道。 识别过程(30)用于识别哪个信道具有信息分量。 然后使用噪声信号来设置施加到组合信号的处理特性,以有效地减少或消除噪声分量。 以这种方式,有效地从组合信号中去除噪声以产生良好的限定信息信号。 信息信号可以是例如语音信号,地震信号,声纳信号或其他声信号。

    REMOVAL OF USER IDENTIFIED NOISE
    5.
    发明申请
    REMOVAL OF USER IDENTIFIED NOISE 审中-公开
    删除用户标识的噪音

    公开(公告)号:WO2013023180A3

    公开(公告)日:2013-06-06

    申请号:PCT/US2012050442

    申请日:2012-08-10

    CPC classification number: G10L21/0216

    Abstract: Methods, systems and devices enabling a party to a telephone conversation to identify sounds for active filtering so that the identified sound can be actively filtered and/or amplified. Cell phones are provided with a button that allows users to identify sounds for filtering by pressing the button or virtual key when the sound is heard. Sounds recorded in response to such user inputs are processed to identify filtering criteria, such as frequencies and amplitude. The identified filtering criteria are then used to actively filter or enhance sounds. The methods and systems enable user to identify specific sounds for filtering so only those sounds deemed annoying are suppressed while permitting other sounds (e.g., voice) to be heard.

    Abstract translation: 方法,系统和设备使得参加电话会话的一方能够识别用于有源滤波的声音,从而可以有效地过滤和/或放大所识别的声音。 手机带有一个按钮,当听到声音时,用户可以通过按下按钮或虚拟键来识别要过滤的声音。 响应于这种用户输入而记录的声音被处理以识别过滤标准,诸如频率和幅度。 所识别的过滤标准然后用于主动过滤或增强声音。 该方法和系统使得用户能够识别用于过滤的特定声音,从而只允许那些被认为恼人的声音在允许听到其他声音(例如,声音)的同时被抑制。

    ROBUST SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT
    8.
    发明申请
    ROBUST SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT 审中-公开
    语音信号在噪声环境中的鲁棒分离

    公开(公告)号:WO2007014136A9

    公开(公告)日:2008-05-15

    申请号:PCT/US2006028627

    申请日:2006-07-21

    Applicant: SOFTMAX INC

    CPC classification number: G10L25/78 G10L21/0272 G10L2021/02165 H04R2410/07

    Abstract: A method for improving the quality of a speech signal extracted from a noisy acoustic environment is provided. In one approach, a signal separation process (180) is associated with a voice activity detector (185). The voice activity detector (185) is a two-channel (178,182) detector, which enables a particularly robust and accurate detection of voice activity. When a speech is detected, the voice activity detector generates a control signal (411). The control signal (411) is used to activate, adjust, or control signal separation processes or post -processing operations (195) to improve the quality of the resulting speech signal. In another approach, a signal separation process (180) is provided as a learning stage (752) and an output stage (756). The learning stage (752) aggressively adjus to current acoustic conditions and passes coefficients to the output stage (756). The output stage (756) adapts more slowly and generates a speech-content signal (181,770) and a noise dominant signal (407,773). When the learning stage (752) becomes unstable only the learning stage (752) is reset, allowing the output stage (756) to continue outputting a high quality speech signal.

    Abstract translation: 提供了一种用于改善从噪声声学环境提取的语音信号的质量的方法。 在一种方法中,信号分离过程(180)与语音活动检测器(185)相关联。 语音活动检测器(185)是双通道(178,182)检测器,其能够对语音活动进行特别鲁棒且准确的检测。 当检测到语音时,语音活动检测器产生控制信号(411)。 控制信号(411)用于激活,调整或控制信号分离处理或后处理操作(195)以提高所得语音信号的质量。 在另一方法中,提供信号分离处理(180)作为学习阶段(752)和输出阶段(756)。 学习阶段(752)积极地调节当前声学条件并将系数传递到输出级(756)。 输出级(756)更缓慢地适应并产生语音内容信号(181,770)和噪声主导信号(407,773)。 当学习阶段(752)变得不稳定时,只有学习阶段(752)被复位,允许输出级(756)继续输出高质量语音信号。

    ROBUST SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT
    9.
    发明申请
    ROBUST SEPARATION OF SPEECH SIGNALS IN A NOISY ENVIRONMENT 审中-公开
    语音信号在噪声环境中的鲁棒分离

    公开(公告)号:WO2007014136A3

    公开(公告)日:2007-11-01

    申请号:PCT/US2006028627

    申请日:2006-07-21

    Applicant: SOFTMAX INC

    CPC classification number: G10L25/78 G10L21/0272 G10L2021/02165 H04R2410/07

    Abstract: A method for improving the quality of a speech signal extracted from a noisy acoustic environment is provided. In one approach, a signal separation process (180) is associated with a voice activity detector (185). The voice activity detector (185) is a two-channel (178,182) detector, which enables a particularly robust and accurate detection of voice activity. When a speech is detected, the voice activity detector generates a control signal (411). The control signal (411) is used to activate, adjust, or control signal separation processes or post -processing operations (195) to improve the quality of the resulting speech signal. In another approach, a signal separation process (180) is provided as a learning stage (752) and an output stage (756). The learning stage (752) aggressively adjus to current acoustic conditions and passes coefficients to the output stage (756). The output stage (756) adapts more slowly and generates a speech-content signal (181,770) and a noise dominant signal (407,773). When the learning stage (752) becomes unstable only the learning stage (752) is reset, allowing the output stage (756) to continue outputting a high quality speech signal.

    Abstract translation: 提供了一种用于改善从噪声声学环境提取的语音信号的质量的方法。 在一种方法中,信号分离过程(180)与语音活动检测器(185)相关联。 语音活动检测器(185)是双通道(178,182)检测器,其能够对语音活动进行特别鲁棒且准确的检测。 当检测到语音时,语音活动检测器产生控制信号(411)。 控制信号(411)用于激活,调整或控制信号分离处理或后处理操作(195)以提高所得语音信号的质量。 在另一方法中,提供信号分离处理(180)作为学习阶段(752)和输出阶段(756)。 学习阶段(752)积极地调节当前声学条件并将系数传递到输出级(756)。 输出级(756)更缓慢地适应并产生语音内容信号(181,770)和噪声主导信号(407,773)。 当学习阶段(752)变得不稳定时,只有学习阶段(752)被复位,允许输出级(756)继续输出高质量语音信号。

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