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    • 1. 发明申请
    • POLYPHONIC NOTE DETECTION
    • 多重检测
    • US20110247480A1
    • 2011-10-13
    • US12758675
    • 2010-04-12
    • Steffen GehringMarkus SappPierre Fournier
    • Steffen GehringMarkus SappPierre Fournier
    • G10H1/06G10H1/38
    • G10H1/383G10H2210/066G10H2220/091G10H2250/235
    • Processor-implemented methods and systems for polyphonic note detection are disclosed. The method includes converting a portion of a polyphonic audio signal from a time domain to a frequency domain. The method includes detecting a fundamental frequency peak in the frequency domain. The method then detects a defined number of integer-interval harmonic partials. If a defined number of integer-interval harmonic partials relative to the fundamental frequency peak are detected the fundamental frequency is recorded as a detected note. This process is repeated for each fundamental frequency until each note in the polyphonic audio signal has been detected. For example, this method allows detection of each note in a strummed guitar chord to provide feedback on the tuning of each string in a strummed chord or allows detection and feedback of the timing and pitch errors for guitar chords played along with a reference track.
    • 公开了用于复音音符检测的处理器实现的方法和系统。 该方法包括将来自时域的多音音频信号的一部分转换为频域。 该方法包括检测频域中的基频峰值。 该方法然后检测定义数量的整数间隔谐波分量。 如果检测到相对于基频峰值的定义数量的整数间隔谐波部分,则将基频记录为检测到的音符。 对于每个基本频率重复该过程,直到已经检测到复音音频信号中的每个音符。 例如,该方法允许检测吉他弦中的每个音符,以提供对弦弦中的每个弦的调谐的反馈,或允许检测和反馈与参考轨道一起播放的吉他和弦的定时和俯仰误差。
    • 2. 发明授权
    • Polyphonic note detection
    • 复音笔记检测
    • US08309834B2
    • 2012-11-13
    • US12758675
    • 2010-04-12
    • Steffen GehringMarkus SappPierre Fournier
    • Steffen GehringMarkus SappPierre Fournier
    • G10H1/38
    • G10H1/383G10H2210/066G10H2220/091G10H2250/235
    • Processor-implemented methods and systems for polyphonic note detection are disclosed. The method includes converting a portion of a polyphonic audio signal from a time domain to a frequency domain. The method includes detecting a fundamental frequency peak in the frequency domain. The method then detects a defined number of integer-interval harmonic partials. If a defined number of integer-interval harmonic partials relative to the fundamental frequency peak are detected the fundamental frequency is recorded as a detected note. This process is repeated for each fundamental frequency until each note in the polyphonic audio signal has been detected. For example, this method allows detection of each note in a strummed guitar chord to provide feedback on the tuning of each string in a strummed chord or allows detection and feedback of the timing and pitch errors for guitar chords played along with a reference track.
    • 公开了用于复音音符检测的处理器实现的方法和系统。 该方法包括将来自时域的多音音频信号的一部分转换为频域。 该方法包括检测频域中的基频峰值。 该方法然后检测定义数量的整数间隔谐波分量。 如果检测到相对于基频峰值的定义数量的整数间隔谐波部分,则将基频记录为检测到的音符。 对于每个基本频率重复该过程,直到已经检测到复音音频信号中的每个音符。 例如,该方法允许检测吉他弦中的每个音符,以提供对弦弦中的每个弦的调谐的反馈,或允许检测和反馈与参考轨道一起播放的吉他和弦的定时和俯仰误差。
    • 4. 发明申请
    • VISUALLY-ASSISTED MIXING OF AUDIO USING A SPECTRAL ANALYZER
    • 使用光谱分析仪的视觉辅助音频混合
    • US20110175915A1
    • 2011-07-21
    • US12688717
    • 2010-01-15
    • Steffen Gehring
    • Steffen Gehring
    • H04B1/00G06T11/20G06F17/00G06F3/01
    • G10H7/008H03G5/005H03G5/165H04S7/00
    • Processor-implemented methods and systems for visually-assisted mixing of audio using a spectral analyzer are disclosed. The system calculates and displays a spectral view for each track in an arrangement in a multi-track view. A user can then request modification of the spectral view. In response to this request for modification, the system automatically adjusts associated mixing parameters for the modified track so that the spectral output of the track substantially matches the user-requested modified spectral view. This allows a user to visually mix an arrangement by imputing a desired spectral result and having the program make the changes necessary to achieve it.
    • 公开了使用光谱分析仪来视觉辅助混合音频的处理器实现的方法和系统。 系统在多轨视图中以排列方式计算和显示每个轨道的光谱视图。 然后用户可以请求修改光谱视图。 响应于该修改请求,系统自动调整修改的轨道的相关联的混合参数,使得轨道的频谱输出基本上与用户请求的修改的频谱视图相匹配。 这允许用户通过估算所需的频谱结果并使程序进行必要的改变来实现它,从而可视地混合排列。
    • 6. 发明申请
    • DETECTING IF AN AUDIO STREAM IS MONOPHONIC OR POLYPHONIC
    • 检测如果音频流是单声道或多声道的
    • US20110307084A1
    • 2011-12-15
    • US12814867
    • 2010-06-14
    • Steffen GehringChristof Adam
    • Steffen GehringChristof Adam
    • G06F17/00
    • G10H3/125G10H2210/056G10H2210/066G10H2250/031
    • The disclosed technology provides for determining whether an audio stream is monophonic or polyphonic. An exemplary method includes analyzing and detecting frequency peaks in a portion of the audio stream. The method includes determining whether the portion of the audio stream is monophonic, by determining if all detected peaks are integer intervals of a lowest detected frequency peak. The method then includes determining that the audio stream portion is monophonic if a greatest common devisor frequency exists between a threshold frequency and the lowest detected frequency peak, wherein each detected peak is an integer multiple of the greatest common devisor frequency. The method includes determining that the portion of the audio stream is polyphonic if any one of the detected peaks is not substantially an integer multiple of the lowest detected frequency and if no greatest common devisor frequency exists between the threshold frequency and the lowest detected frequency peak.
    • 所公开的技术提供了确定音频流是单音还是多音。 示例性方法包括分析和检测音频流的一部分中的频率峰值。 该方法包括通过确定所有检测到的峰值是否是最低检测频率峰值的整数间隔来确定该音频流的部分是单声道的。 该方法然后包括如果在阈值频率和最低检测到的频率峰值之间存在最大的公共管理器频率,则确定音频流部分是单声道的,其中每个检测到的峰值是最大公共设备频率的整数倍。 该方法包括:如果检测到的峰值中的任何一个基本上不是最低检测频率的整数倍,并且如果在阈值频率和最低检测频率峰值之间没有最大的公共设备频率,则确定该音频流的该部分是多音调的。
    • 7. 发明授权
    • Visually-assisted mixing of audio using a spectral analyzer
    • 使用光谱分析仪进行视觉辅助混合音频
    • US08699727B2
    • 2014-04-15
    • US12688717
    • 2010-01-15
    • Steffen Gehring
    • Steffen Gehring
    • H04B1/00H03G5/00H03G5/02G10H1/08
    • G10H7/008H03G5/005H03G5/165H04S7/00
    • Processor-implemented methods and systems for visually-assisted mixing of audio using a spectral analyzer are disclosed. The system calculates and displays a spectral view for each track in an arrangement in a multi-track view. A user can then request modification of the spectral view. In response to this request for modification, the system automatically adjusts associated mixing parameters for the modified track so that the spectral output of the track substantially matches the user-requested modified spectral view. This allows a user to visually mix an arrangement by imputing a desired spectral result and having the program make the changes necessary to achieve it.
    • 公开了使用光谱分析仪来视觉辅助混合音频的处理器实现的方法和系统。 系统在多轨视图中以排列方式计算和显示每个轨道的光谱视图。 然后用户可以请求修改光谱视图。 响应于该修改请求,系统自动调整修改的轨道的相关联的混合参数,使得轨道的频谱输出基本上与用户请求的修改的频谱视图相匹配。 这允许用户通过估算所需的频谱结果并使程序进行必要的改变来实现它,从而可视地混合排列。
    • 8. 发明授权
    • Detecting if an audio stream is monophonic or polyphonic
    • 检测音频流是单声道还是多音
    • US08392006B2
    • 2013-03-05
    • US12814867
    • 2010-06-14
    • Steffen GehringChristof Adam
    • Steffen GehringChristof Adam
    • G06F17/00
    • G10H3/125G10H2210/056G10H2210/066G10H2250/031
    • The disclosed technology provides for determining whether an audio stream is monophonic or polyphonic. An exemplary method includes analyzing and detecting frequency peaks in a portion of the audio stream. The method includes determining whether the portion of the audio stream is monophonic, by determining if all detected peaks are integer intervals of a lowest detected frequency peak. The method then includes determining that the audio stream portion is monophonic if a greatest common devisor frequency exists between a threshold frequency and the lowest detected frequency peak, wherein each detected peak is an integer multiple of the greatest common devisor frequency. The method includes determining that the portion of the audio stream is polyphonic if any one of the detected peaks is not substantially an integer multiple of the lowest detected frequency and if no greatest common devisor frequency exists between the threshold frequency and the lowest detected frequency peak.
    • 所公开的技术提供了确定音频流是单音还是多音。 示例性方法包括分析和检测音频流的一部分中的频率峰值。 该方法包括通过确定所有检测到的峰值是否是最低检测频率峰值的整数间隔来确定该音频流的部分是单声道的。 该方法然后包括如果在阈值频率和最低检测到的频率峰值之间存在最大的公共管理器频率,则确定音频流部分是单声道的,其中每个检测到的峰值是最大公共设备频率的整数倍。 该方法包括:如果检测到的峰值中的任何一个基本上不是最低检测频率的整数倍,并且如果在阈值频率和最低检测频率峰值之间没有最大的公共设备频率,则确定该音频流的该部分是多音调的。