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公开(公告)号：US4896576A
公开(公告)日：1990-01-30
申请号：US224120
申请日：1988-07-25
申请人： Mayumi Ino
发明人： Mayumi Ino
IPC分类号： G10H1/36
CPC分类号： G10H1/36 , G10H2210/081 , G10H2210/576 , Y10S84/02 , Y10S84/22
摘要： A system for automatically determining principal tones of an accompaniment line supporting a melodic line comprises a plurality of principal tone inference engines which infer principal tones in accordance with different rules of inference from one another and a priority control which controls priorities among the plurality of inference engines to determine final principal tones in the accompaniment line. Each principal tone inference engine may include a condition checker which checks to see whether muscial conditions are met and a principal tone generator which generates principal tones. The priority control monitors the information supplied from the condition checkers to select final principal tones supplied from the principal tone generators. Some of the final principal tones may be dependent from the preceding principal tone while some others may be independent. There may also be provided a storage of the structure of music which is reflected in a series of the final principal tones. In an application, a melodic line monitor is provided so that an accompaniment line interacting with the melody will be generated.
摘要翻译： 用于自动确定支持旋律线的伴奏线的主音的系统包括多个主音调推理引擎，其根据不同的推理规则推断主音调，以及控制多个推理引擎中的优先级的优先级控制 以确定伴奏线中的最终主音。 每个主音调推理机可以包括条件检查器，该条件检查器检查是否满足了音乐条件，以及产生主音调的主音产生器。 优先级控制监视从条件检查器提供的信息，以选择从主音发生器提供的最终主音。 一些最后的主音可能取决于前面的主音，而另一些可能是独立的。 还可以提供在一系列最终主音中反映的音乐结构的存储。 在应用中，提供旋律线监视器，以便产生与旋律相互作用的伴奏线。
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公开(公告)号：US12131261B2
公开(公告)日：2024-10-29
申请号：US18143802
申请日：2023-05-05
IPC分类号： G06N3/084 , G06F17/16 , G06F18/22 , G06F40/30 , G06N3/04 , G06N3/045 , G06N3/048 , G06N3/08 , G06V30/262 , G10H1/00 , G10L15/16
CPC分类号： G06N3/084 , G06F17/16 , G06F18/22 , G06F40/30 , G06N3/04 , G06N3/08 , G06V30/274 , G10H1/0008 , G10L15/16 , G06N3/045 , G06N3/048 , G10H2210/071 , G10H2210/081
摘要： A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks “ANNs” in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.
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公开(公告)号：US12080262B2
公开(公告)日：2024-09-03
申请号：US17619412
申请日：2019-06-17
发明人： Shiro Suzuki , Toshihisa Sabi
CPC分类号： G10H1/0575 , G10H1/0025 , G10H1/40 , G10H2210/081
摘要： A music piece analyzer includes: a key candidate determiner configured to analyze music data to determine a plurality of key candidates; and a key selector configured to extract each one of the plurality of key candidates, detect keys corresponding to related keys from among remaining ones of the plurality of key candidates supposing that the extracted one of the plurality of key candidates is a main key, on each extracted one of the plurality of key candidates, calculate a related key score in accordance with the number of the keys corresponding to the related keys, and select a key of a music piece in accordance with the related key score from among the plurality of key candidates.
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公开(公告)号：US11645532B2
公开(公告)日：2023-05-09
申请号：US17752950
申请日：2022-05-25
IPC分类号： G06N3/08 , G06F40/30 , G06F17/16 , G10L15/16 , G06K9/62 , G06N3/04 , G10H1/00 , G06V30/262 , G06N3/084
CPC分类号： G06N3/08 , G06F17/16 , G06F40/30 , G06K9/6215 , G06N3/04 , G06N3/084 , G06V30/274 , G10H1/0008 , G10L15/16 , G06N3/0454 , G06N3/0481 , G10H2210/071 , G10H2210/081
摘要： A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks “ANNs” in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.
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公开(公告)号：US20190096371A1
公开(公告)日：2019-03-28
申请号：US16203811
申请日：2018-11-29
申请人： Gracenote, Inc.
IPC分类号： G10H1/00
CPC分类号： G10H1/0008 , G10H2210/066 , G10H2210/081 , G10H2240/075 , G10H2240/141 , G10H2250/015 , G10H2250/215
摘要： Methods, systems and apparatus to characterize audio using transchromagrams are disclosed. An example apparatus includes a transchromagram generator to generate a data structure based on a set of transition matrices corresponding to a plurality of time frames of audio data, the data structure indicative of probabilities that first musical notes will transition to second musical notes, a database controller to prompt a database to store the data structure within the audio data, and a notification manager to generate, based on a comparison between query audio data and the stored data structure of the audio data, a notification identifying at least one characteristic of the query audio data.
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公开(公告)号：US10062368B2
公开(公告)日：2018-08-28
申请号：US15677656
申请日：2017-08-15
发明人： Junichi Minamitaka
IPC分类号： G10H1/38
CPC分类号： G10H1/383 , G10H1/0066 , G10H2210/076 , G10H2210/081 , G10H2210/576 , G10H2250/021
摘要： A chord judging method performed by a processor to judge chords of a musical piece, in which the processor estimates plural chord candidates of each of plural parts specified in the musical piece; calculates connection costs, each of which is defined between the chord candidates of adjacent parts of the musical piece; obtains total sums of the connection costs between the chord candidates along plural routes through the musical piece; and selects a route from among the plural routes, which route shows a less total sum of the connection costs of the chord candidates, thereby outputting an appropriate chord candidate of each of the parts along the found route of the musical piece.
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公开(公告)号：US09947304B1
公开(公告)日：2018-04-17
申请号：US15590552
申请日：2017-05-09
申请人： Francis Begue
发明人： Francis Begue
CPC分类号： G10H1/0008 , G10G1/02 , G10H2210/081 , G10H2220/005 , G10H2220/015 , G10H2220/131 , G10H2220/401
摘要： The present disclosure provides a system and method for representing music in a three dimensions using contexts based around tonal centers, to form three dimensional geometric shapes. The musical notation method described herein is easy to understand and visualize. The method is based on three dimensional structures which may represent contexts. The contexts may be formed by combining diminished and augmented scales shown as symmetrical three dimensional geometric shapes. These symmetrical geometric shapes may be formed from a plurality of polygons, which may include polygons comprised of a set of related notes from a diminished or augmented scale, together forming a looped harmonic polygon. Each note in a respective scale is placed at a vertex of a harmonic polygon, wherein the vertices of the harmonic polygons are selected from notes in a twelve note chromatic scale.
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公开(公告)号：US20180090118A1
公开(公告)日：2018-03-29
申请号：US15677672
申请日：2017-08-15
发明人： Junichi MINAMITAKA
IPC分类号： G10H1/38
CPC分类号： G10H1/383 , G10H1/0066 , G10H1/40 , G10H2210/076 , G10H2210/081 , G10H2210/395 , G10H2210/576 , G10H2250/021
摘要： A chord judging apparatus for judging chords of a musical piece, is provided with a processor and a memory for storing data of the musical piece, wherein the processor specifies plural segments in the data of the musical piece, estimates a tonality of each of the specified segments based on component tones included in the segment, and judges a chord of the plural segments of the musical piece based on modulation in tonality, when modulation is introduced in the estimated tonalities of the plural segments.
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公开(公告)号：US20180090117A1
公开(公告)日：2018-03-29
申请号：US15677656
申请日：2017-08-15
发明人： Junichi MINAMITAKA
IPC分类号： G10H1/38
CPC分类号： G10H1/383 , G10H1/0066 , G10H2210/076 , G10H2210/081 , G10H2210/576 , G10H2250/021
摘要： A chord judging method performed by a processor to judge chords of a musical piece, in which the processor estimates plural chord candidates of each of plural parts specified in the musical piece; calculates connection costs, each of which is defined between the chord candidates of adjacent parts of the musical piece; obtains total sums of the connection costs between the chord candidates along plural routes through the musical piece; and selects a route from among the plural routes, which route shows a less total sum of the connection costs of the chord candidates, thereby outputting an appropriate chord candidate of each of the parts along the found route of the musical piece.
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公开(公告)号：US20180061382A1
公开(公告)日：2018-03-01
申请号：US15689900
申请日：2017-08-29
申请人： Gracenote, Inc.
IPC分类号： G10H1/00
CPC分类号： G10H1/0008 , G10H2210/066 , G10H2210/081 , G10H2240/075 , G10H2240/141 , G10H2250/015 , G10H2250/215
摘要： Methods, systems and apparatus to characterize audio using transchromagrams are disclosed. An example method includes generating, by executing one or more instructions on a processor, a set of transition matrices based on a plurality of time frames of the audio data, each of the plurality of transition matrices generated based on a different pair of time frames in the plurality of time frames, and indicating probabilities that anterior musical notes in an anterior time frame of the pair transition to posterior musical notes in a posterior time frame of the pair, generating, by executing one or more instructions on a processor, a data structure representing how the audio data changes statistically between the plurality of time frames based on the set of transition matrices, and causing, by executing one or more instructions on a processor, a database to store the data structure within metadata that describes the audio data.
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