公开(公告)号：US11887568B2

公开(公告)日：2024-01-30

申请号：US17990618

申请日：2022-11-18

Applicant: DAACI Limited

Inventor： Joseph Michael William Lyske

IPC: G10H1/00

CPC classification number: G10H1/0025 ,  G10H1/0041 ,  G10H2210/111 ,  G10H2210/555 ,  G10H2210/576 ,  G10H2240/075 ,  G10H2240/145 ,  G10H2250/015

Abstract: The disclosed generative composition system produces a composition to a briefing that describes a musical journey in emotional descriptions. The composition is assembled from concatenated interchangeable Form Atoms “FAs” selectable by tags aligning emotional descriptions with respective compositional heuristics. Each FA has self-contained constructional properties representative of an historical musical corpus. These heuristics support generation of chords, in chord schemes of musical tonics, achieving an equivalent form function. Each FA also includes chord spacer heuristics that temporally space generated chords across a defined musical window, and a chord list in a local tonic defining branching structures giving options for generating different chords. A progression descriptor, in combination with a form function, expresses musically a question, an answer or a statement, with each FA creating a meta-map of a chord scheme for a musical section. Musical transitions between FA reflect groupings in which FA have similar tags but different constructional properties.

公开(公告)号：US20230186881A1

公开(公告)日：2023-06-15

申请号：US17990618

申请日：2022-11-18

Applicant: DAACI Limited

Inventor： Joseph Michael William LYSKE

IPC: G10H1/00

CPC classification number: G10H1/0025 ,  G10H1/0041 ,  G10H2240/145 ,  G10H2240/075 ,  G10H2210/576 ,  G10H2250/015 ,  G10H2210/555 ,  G10H2210/111

Abstract: A generative composition system reduces existing musical artefacts to constituent elements termed “Form Atoms”. These Form Atoms may each be of varying length and have musical properties and associations that link together through Markov chains. To provide myriad new composition, a set of heuristics ensures that musical textures between concatenated musical sections follow a supplied and defined briefing narrative for the new composition whilst contiguous concatenated Form Atoms are also automatically selected to see that similarities in respective and identified attributes of musical textures for those musical sections are maintained to support maintenance of musical form. Independent aspects of the disclosure further ensure that, within the composition work, such as a media product or a real-time audio stream, chord spacing determination and control are practiced to maintain musical sense in the new composition. Further, a structuring of primitive heuristics operates to maintain pitch and permit key transformation. The system and its functionality provides signal analysis and music generation through allowing emotional connotations to be specified and reproduced from cross-referenced Form-Atoms.

公开(公告)号：US10074350B2

公开(公告)日：2018-09-11

申请号：US14948695

申请日：2015-11-23

Applicant: Adobe Systems Incorporated

Inventor： Cheng-i Wang ,  Gautham Mysore

IPC: A63H5/00 ,  G04B13/00 ,  G10H7/00 ,  G10G1/00

CPC classification number: G10G1/00 ,  G10H2210/041 ,  G10H2210/061 ,  G10H2210/076 ,  G10H2220/131 ,  G10H2250/015 ,  G10H2250/135

Abstract: Embodiments of the present invention relate to automatically identifying structures of a music stream. A segment structure may be generated that visually indicates repeating segments of a music stream. To generate a segment structure, a feature that corresponds to a music attribute from a waveform corresponding to the music stream is extracted from a waveform, such as an input signal. Utilizing a signal segmentation algorithm, such as a Variable Markov Oracle (VMO) algorithm, a symbolized signal, such as a VMO structure, is generated. From the symbolized signal, a matrix is generated. The matrix may be, for instance, a VMO-SSM. A segment structure is then generated from the matrix. The segment structure illustrates a segmentation of the music stream and the segments that are repetitive.

公开(公告)号：US20180018949A1

公开(公告)日：2018-01-18

申请号：US15649040

申请日：2017-07-13

Applicant: SMULE, INC.

Inventor： Stefan Sullivan ,  John Shimmin ,  Dean Schaffer ,  Perry R. Cook

IPC: G10H1/36

CPC classification number: G10H1/366 ,  G10H2210/331 ,  G10H2240/056 ,  G10H2250/015 ,  G10H2250/021

Abstract: Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.

公开(公告)号：US20160300555A1

公开(公告)日：2016-10-13

申请号：US15027248

申请日：2014-12-24

Applicant: TONARA LTD.

Inventor： Evgeni Begelfor ,  Michael Zakai ,  Ron Regev

IPC: G10H1/00 ,  G10G1/00

CPC classification number: G10H1/0033 ,  G06K9/00 ,  G06K9/6297 ,  G10G1/00 ,  G10H1/18 ,  G10H2210/051 ,  G10H2210/071 ,  G10H2210/081 ,  G10H2220/455 ,  G10H2250/015

Abstract: Music recognition is carried out by accepting a musical score of musical elements in a digital format, transforming the digital format into a composite musical data object that models the musical score, defining the key signatures in the composite musical data object probabilistically, computing start times to play musical elements in respective measures of the composite musical data object without regard to rhythmic values of other musical elements in the respective measures, and generating an output including the defined key signatures and computed start times.

Abstract translation: 通过以数字格式接受音乐元素的乐谱来进行音乐识别，将数字格式变换为对乐谱进行建模的综合音乐数据对象，概率地定义复合音乐数据对象中的键签名，计算开始时间 在各个度量中不考虑其他音乐元素的节奏值，并且生成包括定义的键签名和计算的开始时间的输出，在复合音乐数据对象的各个度量中播放音乐元素。

公开(公告)号：US20140260911A1

公开(公告)日：2014-09-18

申请号：US14207816

申请日：2014-03-13

Applicant: YAMAHA CORPORATION

Inventor： Akira MAEZAWA

IPC: G10H7/00

CPC classification number: G10H7/002 ,  G10H1/00 ,  G10H1/40 ,  G10H7/00 ,  G10H2210/046 ,  G10H2210/061 ,  G10H2210/076 ,  G10H2210/101 ,  G10H2210/375 ,  G10H2250/015

Abstract: A sound signal analysis apparatus 10 includes sound signal input portion for inputting a sound signal indicative of a musical piece, tempo detection portion for detecting a tempo of each of sections of the musical piece by use of the input sound signal, judgment portion for judging stability of the tempo, and control portion for controlling a certain target in accordance with a result judged by the judgment portion.

Abstract translation: 声音信号分析装置10包括用于输入指示乐曲的声音信号的声音信号输入部分，用于通过使用输入声音信号来检测乐曲的每个部分的节奏的速度检测部分，用于判断稳定性的判断部分 以及用于根据由判断部分判断的结果来控制某个目标的控制部分。

公开(公告)号：US08554553B2

公开(公告)日：2013-10-08

申请号：US13031357

申请日：2011-02-21

Applicant: Gautham J. Mysore ,  Paris Smaragdis

Inventor： Gautham J. Mysore ,  Paris Smaragdis

IPC: G10L21/02

CPC classification number: G10L15/144 ,  G10H1/0008 ,  G10H2210/066 ,  G10H2210/086 ,  G10H2250/015

Abstract: Methods and systems for non-negative hidden Markov modeling of signals are described. For example, techniques disclosed herein may be applied to signals emitted by one or more sources. In some embodiments, methods and systems may enable the separation of a signal's various components. As such, the systems and methods disclosed herein may find a wide variety of applications. In audio-related fields, for example, these techniques may be useful in music recording and processing, source extraction, noise reduction, teaching, automatic transcription, electronic games, audio search and retrieval, and many other applications.

Abstract translation: 描述信号的非负隐马尔可夫模型的方法和系统。 例如，本文公开的技术可以应用于由一个或多个源发射的信号。 在一些实施例中，方法和系统可以实现信号的各种组件的分离。 因此，本文公开的系统和方法可以发现各种各样的应用。 例如，在音频相关领域中，这些技术在音乐记录和处理，源提取，降噪，教学，自动转录，电子游戏，音频搜索和检索以及许多其它应用中可能是有用的。

公开(公告)号：US20130192445A1

公开(公告)日：2013-08-01

申请号：US13559143

申请日：2012-07-26

Applicant: Kouhei SUMI ,  Takuya FUJISHIMA ,  Takeshi KIKUCHI

Inventor： Kouhei SUMI ,  Takuya FUJISHIMA ,  Takeshi KIKUCHI

IPC: G10H7/00

CPC classification number: G10H7/00 ,  G06F17/30743 ,  G10H1/0008 ,  G10H2210/066 ,  G10H2240/141 ,  G10H2240/311 ,  G10H2250/015

Abstract: A music analysis apparatus has a feature extractor and an analysis processor. The feature extractor generates a time series of feature values from a sequence of notes which is designated as an object of analysis. The analysis processor computes an evaluation index value which indicates a probability that the designated sequence of notes is present in each of a plurality of reference music pieces by applying a probabilistic model to the time series of the feature values generated from the designated sequence of notes. The probabilistic model is generated by machine learning of the plurality of reference music pieces using time series of feature values obtained from the reference music pieces.

Abstract translation: 音乐分析装置具有特征提取器和分析处理器。 特征提取器从指定为分析对象的音符序列生成特征值的时间序列。 分析处理器通过将概率模型应用于从指定的笔记序列生成的特征值的时间序列来计算指示多个参考音乐片段中的指定音符序列存在的概率的评估指标值。 使用从参考音乐片段获得的特征值的时间序列，通过机器学习多个参考音乐片段来生成概率模型。

公开(公告)号：US08357847B2

公开(公告)日：2013-01-22

申请号：US12373682

申请日：2007-07-12

Applicant: Sylvain Huet ,  Jean-Philippe Ulrich ,  Gilles Babinet

Inventor： Sylvain Huet ,  Jean-Philippe Ulrich ,  Gilles Babinet

IPC: G10H1/00

CPC classification number: G10H1/0025 ,  G10H2210/115 ,  G10H2210/125 ,  G10H2240/131 ,  G10H2240/145 ,  G10H2250/015

Abstract: The method according to the invention includes the creation of a reference multimedia sequence structure, the breaking down of this structure into basic components (tracks P1, P2, Pn) each containing a series of basic subcomponents (bricks B11-Bn4), the association to each one of these basic subcomponents of a plurality of homologous subcomponents (homologous bricks B11 Hi, B21 Hj, B″1 Hk) to each of which are assigned attributes and an automatic composition phase of a new multimedia sequence containing the maintaining of the subcomponents or their replacing with homologous subcomponents chosen algorithmically according to an algorithm determining the probability of the subcomponents of being chosen, considering its attributes, then by performing a random choice in respect of these probabilities.

Abstract translation: 根据本发明的方法包括创建参考多媒体序列结构，将该结构分解成每个包含一系列基本子组件（砖B11-Bn4）的基本组件（轨道P1，P2，Pn），与 分配属性的多个同源子部件（同源砖B11H1，B21Hj，B“1 Hk）的这些基本子部件中的每一个被分配属性和包含维护子部件的新的多媒体序列的自动合成阶段或 根据确定所选子组件的概率的算法，考虑其属性，然后通过对这些概率进行随机选择，按照算法选择的同质子组件进行替换。

公开(公告)号：US20110004476A1

公开(公告)日：2011-01-06

申请号：US12828409

申请日：2010-07-01

Applicant: Keijiro Saino ,  Jordi Bonada

Inventor： Keijiro Saino ,  Jordi Bonada

IPC: G10L13/06

CPC classification number: G10L13/10 ,  G10H1/0008 ,  G10H2210/066 ,  G10H2210/086 ,  G10H2240/155 ,  G10H2250/015 ,  G10H2250/455 ,  G10H2250/481

Abstract: Variation over time in fundamental frequency in singing voices is separated into a melody-dependent component and a phoneme-dependent component, modeled for each of the components and stored into a singing synthesizing database. In execution of singing synthesis, a pitch curve indicative of variation over time in fundamental frequency of the melody is synthesized in accordance with an arrangement of notes represented by a singing synthesizing score and the melody-dependent component, and the pitch curve is corrected, for each of pitch curve sections corresponding to phonemes constituting lyrics, using a phoneme-dependent component model corresponding to the phoneme. Such arrangements can accurately model a singing expression, unique to a singing person and appearing in a melody singing style of the person, while taking into account phoneme-dependent pitch variation, and thereby permits synthesis of singing voices that sound more natural.

Abstract translation: 随着时间的推移，唱歌声音中的基频随时间被分成一个旋律依赖的组件和一个音素依赖组件，为每个组件建模并存储到歌唱综合数据库中。 在执行唱歌合成时，根据由歌唱综合得分和旋律相关分量表示的音符的排列来合成表示旋律基频随时间变化的音调曲线，并且对音调曲线进行校正， 每个音调曲线部分对应于构成歌词的音素，使用与音素对应的音素依赖分量模型。 这样的安排可以准确地模拟唱歌人士独特的歌唱表现，并以人物的旋律歌唱风格出现，同时考虑到音素依赖的音调变化，从而允许合成更自然的歌声。