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Patent Agency Ranking
公开(公告)号：US08592670B2
公开(公告)日：2013-11-26
申请号：US13671507
申请日：2012-11-07
Applicant: Apple Inc.
Inventor： Steffen Gehring , Markus Sapp , Pierre Fournier
IPC: G10H1/00
CPC classification number: G10H1/383 , G10H2210/066 , G10H2220/091 , G10H2250/235
Abstract: 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.
Abstract translation: 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，以提供对弦乐弦中每个琴弦的调谐的反馈，或允许检测和反馈与参考轨道一起演奏的吉他和弦的定时和音调误差。
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公开(公告)号：US09852721B2
公开(公告)日：2017-12-26
申请号：US14871902
申请日：2015-09-30
Applicant: APPLE INC.
Inventor： Christoph Kozielski , Pierre Fournier
CPC classification number: G10H1/0008 , G06F17/30743 , G10H1/0025 , G10H1/383 , G10H2210/061 , G10H2210/066 , G10H2210/076 , G10H2210/081 , G10H2210/086 , G10H2210/576
Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.
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公开(公告)号：US20170090860A1
公开(公告)日：2017-03-30
申请号：US14871897
申请日：2015-09-30
Applicant: APPLE INC.
Inventor： Steffen Gehring , Pierre Fournier
IPC: G06F3/16
CPC classification number: G06F3/165 , G10G1/00 , G10H1/0008 , G10H1/383 , G10H2210/066 , G10H2210/076 , G10H2210/081 , G10H2210/086
Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.
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公开(公告)号：US09804818B2
公开(公告)日：2017-10-31
申请号：US14871897
申请日：2015-09-30
Applicant: Apple Inc.
Inventor： Steffen Gehring , Pierre Fournier
CPC classification number: G06F3/165 , G10G1/00 , G10H1/0008 , G10H1/383 , G10H2210/066 , G10H2210/076 , G10H2210/081 , G10H2210/086
Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.
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公开(公告)号：US20170092245A1
公开(公告)日：2017-03-30
申请号：US14871902
申请日：2015-09-30
Applicant: APPLE INC.
Inventor： Christoph Kozielski , Pierre Fournier
CPC classification number: G10H1/0008 , G06F17/30743 , G10H1/0025 , G10H1/383 , G10H2210/061 , G10H2210/066 , G10H2210/076 , G10H2210/081 , G10H2210/086 , G10H2210/576
Abstract: A platform or system is disclosed for performing musical analysis to detect musical properties in received live or pre-recorded audio data. The analysis can include a synchronous analysis for generating estimated one or more transitory musical properties and an asynchronous analysis for generating one or more aggregate musical properties which can be applied to the transitory musical properties to generate confirmed musical properties, which can be stored as metadata associated with an audio file. In some cases, live audio data can be received, recorded, dynamically analyzed to provide realtime metadata (e.g., to a display), then the realtime metadata can be analyzed to provide confirmed, updated, or validated metadata. In some cases, initial analysis (e.g., dynamic analysis) can determine chord estimates, usable in further analysis (e.g., offline analysis) to estimate a musical key, which can then be applied to the chord estimates to determine the most likely chord estimates and determine chord progressions.
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