ppt
•Download as PPT, PDF•
1 like•247 views
This document discusses 11 applications of machine learning to music research, focusing on expressive music performance. It describes two approaches - learning at the note level and learning at the structure level. For the note level approach, it uses a system called IBL-SMART that learns rules to determine loudness and tempo for each note. For the structure level approach, it analyzes musical structures like phrases and learns prototypical expression shapes associated with them. It presents experiments applying these approaches to classical pieces, finding the structure level approach produced more musically convincing results.
Report
Share
Report
Share
![Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Forms of Meaning 2.3 & 2.4 -- by Dipti Kotwal
Slides of my presentation on sub-chapters 2.3 and 2.4 of the book "The Forms of Meaning: Modeling Systems Theory and Semiotic Analysis" by Thomas A. Sebeok and Marcel Danesi.
This presentation contains gif animations which play in it's video version shared here: https://youtu.be/wXSABiebSmU
lec21.ppt
The document discusses machine learning techniques including supervised learning algorithms that can be trained on labeled example data to learn tasks like spam filtering, handwriting recognition, image labeling, and text generation. It provides examples of how machine learning has been applied successfully to problems like classifying emails as spam or not spam based on word frequencies, generating new text in the style of a sample by predicting the next word, and training algorithms to pilot helicopters by observing human pilots.
March 2009 APM Minutes - Welcome - Farnham Royal Parish Council
- The minutes summarized the Annual Parish Meeting of Farnham Royal held on March 9, 2009. Representatives from the parish council, village halls, schools, police, and local organizations gave reports on activities over the past year.
- The Chairman's report highlighted developments over the past year including recognition of a former parish council member who passed away, welcoming a new member, progress on creating a parish council website, and supporting the new youth club. It also discussed improvements to Christmas lights and establishing an office for the new parish clerk.
- The Buckinghamshire County Councillor's report discussed the challenges of balancing services with low council tax increases, and the budget for the coming year which assumes efficiency savings and service reductions to maintain
Recommended
Forms of Meaning 2.3 & 2.4 -- by Dipti Kotwal
Slides of my presentation on sub-chapters 2.3 and 2.4 of the book "The Forms of Meaning: Modeling Systems Theory and Semiotic Analysis" by Thomas A. Sebeok and Marcel Danesi.
This presentation contains gif animations which play in it's video version shared here: https://youtu.be/wXSABiebSmU
lec21.ppt
The document discusses machine learning techniques including supervised learning algorithms that can be trained on labeled example data to learn tasks like spam filtering, handwriting recognition, image labeling, and text generation. It provides examples of how machine learning has been applied successfully to problems like classifying emails as spam or not spam based on word frequencies, generating new text in the style of a sample by predicting the next word, and training algorithms to pilot helicopters by observing human pilots.
March 2009 APM Minutes - Welcome - Farnham Royal Parish Council
- The minutes summarized the Annual Parish Meeting of Farnham Royal held on March 9, 2009. Representatives from the parish council, village halls, schools, police, and local organizations gave reports on activities over the past year.
- The Chairman's report highlighted developments over the past year including recognition of a former parish council member who passed away, welcoming a new member, progress on creating a parish council website, and supporting the new youth club. It also discussed improvements to Christmas lights and establishing an office for the new parish clerk.
- The Buckinghamshire County Councillor's report discussed the challenges of balancing services with low council tax increases, and the budget for the coming year which assumes efficiency savings and service reductions to maintain
by Warren Jin
This document describes 5 potential honors projects related to applying data mining and machine learning techniques to problems in digital forensics and spatial data analysis. The projects involve developing ontologies and text mining approaches to analyze digital evidence like emails and logs, applying techniques like Bayesian networks to detect cyber intrusions and model relationships in forensic data, and using Bayesian networks to integrate multiple types of spatial evidence and support intelligent land use planning. Strong programming and machine learning backgrounds are required.
Enterprising Donegal Business Week 2010
Enterprise Ireland provides several supports to help Irish businesses reduce costs and environmental impacts through more sustainable practices. These include grants for environmental projects, carbon footprint assessment tools, and expertise in developing environmentally superior products. Undertaking eco-efficiency measures can help businesses save money while also meeting increasing environmental regulations and consumer demand for greener products and services.
paper
Jasmine is a hybrid reasoning tool that discovers causal links in biological data through deterministic machine learning. It generates hypotheses to explain observations, verifies hypotheses by finding data that satisfies them, and falsifies some hypotheses by revealing inconsistencies. Jasmine represents domain knowledge as an ontology and uses abductive, inductive, and deductive reasoning. It predicts targets for objects by finding common causes between similar objects based on their satisfied features.
Cryptology and Mathematics
The document discusses substitution ciphers and cryptography. It provides background on cryptology, defines key terms, and discusses the general substitution cipher and the Caesar cipher as a specific example. The Caesar cipher is represented by the equation y = (a + x)(mod n) where a is the shift value, x is the letter being encrypted, and n is the size of the alphabet. This equation models how the Caesar cipher encrypts messages by shifting each letter a fixed number of positions in the alphabet.
News Press Copo Rc1
Alcantara Stone ha aportado su exclusivo Negro Alcantara® como toque de distinción en elementos de una casa exclusiva en la costa portuguesa como el suelo y encimeras de la cocina, así como una chimenea de una pieza hecha a medida. El documento proporciona detalles sobre los materiales y piezas utilizados en el proyecto.
Abstract.doc
This document describes a machine learning model for software defect prediction. It uses NASA software metrics data to train artificial neural networks and decision tree models to predict defect density values. The model performs regression to predict defect values for test data. Experimental results show that while both ANN and decision tree methods did not initially provide acceptable predictions compared to the data variance, further experiments could enhance defect prediction performance through a two-step modeling approach.
CV Arushini Padayachee
This document contains details of Arushini Padayachee's qualifications, experience, and responsibilities in her role as a Civil Design Technologist at SiVEST Consulting Engineers. She has a Bachelor's Degree in Civil Engineering and over 5 years of experience designing various civil infrastructure projects including stormwater systems, sewer networks, roads, and bulk earthworks. Her duties involve design, drafting, administration, construction management, and providing cost estimates using software such as AutoCAD, Pipemate, and Roadmate. She has experience with a variety of project types and sizes across multiple sectors.
COM623M1.doc.doc
This document provides information on the "Intelligent Systems" module, including its code, level, credit points, location, coordinator, content, aims, learning outcomes, teaching methods, and assessment. The module introduces students to intelligent techniques like fuzzy logic, neural networks, and genetic algorithms through both theoretical and practical implementations in Matlab. Students will learn to design and apply these systems to solve problems in computing and engineering.
Victor (Shengli) Sheng
This document is a curriculum vitae for Victor Sheng, who is a PhD candidate at the University of Western Ontario studying data mining, machine learning, and their applications. His research interests include cost-sensitive learning algorithms and applications in various domains. He has published over 20 papers in peer-reviewed conferences and journals. He has also taught several courses as an instructor and teaching assistant and received multiple awards and scholarships for his academic and research achievements.
New Employee Orientation
The document provides an orientation for new employees at Ohio State Newark, outlining the IT equipment and services available including computer setup, network access and drives, email setup and spam filtering, software training resources, room reservations, and how to contact the IT helpdesk for assistance.
Coreference Resolution using Hybrid Approach
The document presents a hybrid approach for coreference resolution that uses different methods for pronouns and non-pronouns. For pronouns, it uses a salience-based technique to find antecedents within 2 sentences by evaluating syntactic and semantic constraints. For non-pronouns, it trains a classifier on coreference pairs to group markables into coreference classes. The approach is evaluated on a test set, achieving a precision of 66.1%, recall of 58.4% and an F1-measure of 62%.
1000263
This document provides information about Delphi, a tier 1 automotive parts manufacturing company, and SAP systems used at Delphi. It discusses Delphi's 5 divisions that manufacture different automotive components. It also summarizes the global common template and non-global common templates used in Delphi's SAP systems, including different production systems, development environments, and SAP versions used. Finally, it mentions plans to consolidate various SAP systems under the main PN1 system and lists some functional and technical SAP streams.
Lecture 7
This lecture covers machine learning concepts including definitions, applications, learning agents, different types of learning (supervised, unsupervised, reinforcement), terms like training set and test set, decision tree learning using information gain to select attributes, and Bayesian learning including Bayes' theorem and naive Bayesian classification of documents. Key applications discussed include spam filtering, autonomous driving, and medical data mining.
Practical Knowledge Representation
The document introduces a system for clustering spam messages using a modified version of constrained k-means clustering called Wave Oriented K Means (WOKM). WOKM clusters incoming spam into distinct types or classes based on relevant message features. It filters out known spam and clusters the remaining messages, updating its knowledge base. This allows it to adapt to changes in spam over time with little human intervention.
Towards a Computational Model of Melody Identification in Polyphonic Music
Slide de apresentação de artigo da disciplina de Inteligência Artificial sobre modelos de identificação de melodias.
"Towards a Computational Model of Melody Identification in Polyphonic Music"
Creating Ambient Music
This lesson plan focuses on using visual images to generate musical ideas for ambient compositions. Students will watch excerpts from an audiovisual work to see how sound and images are combined. They will then choose a picture from a book to use as inspiration for an in-class ambient composition. Various instruments will be used to improvise and experiment with sounds that match the mood of the selected image. The goal is for students to learn how different art forms can be integrated to spark musical creativity.
Impact of Different Genre of Tamil Cine Music Using Combined Disjoined Block...
Abstract- The subjective nature of listening knowledge of human to different genre of music perception suggests that fuzzy logic is a more appropriate tool for an unsupervised data. Because listening mood environment, personality,age, cultural background etc, can be decide that what kind of music we hear mostly. This paper is organized as follows. In section 1, we introduce the general ideas in music and its different genres. The proposed method of fuzzy logic (CDBFCMs)is given in Section2. Section 3 give the description of the problem and hidden pattern and the conclusion in Section4.
Nithin Xavier research_proposal
The document discusses developing a model to compose monophonic world music using deep learning techniques. It proposes using a bi-axial recurrent neural network with one axis representing time and the other representing musical notes. The network will be trained on a dataset of MIDI files describing pitch, timing, and velocity of notes. It will also incorporate information from music theory on scales, chords, and other elements extracted from sheet music files. The goal is to generate unique musical sequences while adhering to music theory rules. The model aims to address the problem of composing long durations of background music for public spaces in an automated way.
More Related Content
Viewers also liked
by Warren Jin
This document describes 5 potential honors projects related to applying data mining and machine learning techniques to problems in digital forensics and spatial data analysis. The projects involve developing ontologies and text mining approaches to analyze digital evidence like emails and logs, applying techniques like Bayesian networks to detect cyber intrusions and model relationships in forensic data, and using Bayesian networks to integrate multiple types of spatial evidence and support intelligent land use planning. Strong programming and machine learning backgrounds are required.
Enterprising Donegal Business Week 2010
Enterprise Ireland provides several supports to help Irish businesses reduce costs and environmental impacts through more sustainable practices. These include grants for environmental projects, carbon footprint assessment tools, and expertise in developing environmentally superior products. Undertaking eco-efficiency measures can help businesses save money while also meeting increasing environmental regulations and consumer demand for greener products and services.
paper
Jasmine is a hybrid reasoning tool that discovers causal links in biological data through deterministic machine learning. It generates hypotheses to explain observations, verifies hypotheses by finding data that satisfies them, and falsifies some hypotheses by revealing inconsistencies. Jasmine represents domain knowledge as an ontology and uses abductive, inductive, and deductive reasoning. It predicts targets for objects by finding common causes between similar objects based on their satisfied features.
Cryptology and Mathematics
The document discusses substitution ciphers and cryptography. It provides background on cryptology, defines key terms, and discusses the general substitution cipher and the Caesar cipher as a specific example. The Caesar cipher is represented by the equation y = (a + x)(mod n) where a is the shift value, x is the letter being encrypted, and n is the size of the alphabet. This equation models how the Caesar cipher encrypts messages by shifting each letter a fixed number of positions in the alphabet.
News Press Copo Rc1
Alcantara Stone ha aportado su exclusivo Negro Alcantara® como toque de distinción en elementos de una casa exclusiva en la costa portuguesa como el suelo y encimeras de la cocina, así como una chimenea de una pieza hecha a medida. El documento proporciona detalles sobre los materiales y piezas utilizados en el proyecto.
Abstract.doc
This document describes a machine learning model for software defect prediction. It uses NASA software metrics data to train artificial neural networks and decision tree models to predict defect density values. The model performs regression to predict defect values for test data. Experimental results show that while both ANN and decision tree methods did not initially provide acceptable predictions compared to the data variance, further experiments could enhance defect prediction performance through a two-step modeling approach.
CV Arushini Padayachee
This document contains details of Arushini Padayachee's qualifications, experience, and responsibilities in her role as a Civil Design Technologist at SiVEST Consulting Engineers. She has a Bachelor's Degree in Civil Engineering and over 5 years of experience designing various civil infrastructure projects including stormwater systems, sewer networks, roads, and bulk earthworks. Her duties involve design, drafting, administration, construction management, and providing cost estimates using software such as AutoCAD, Pipemate, and Roadmate. She has experience with a variety of project types and sizes across multiple sectors.
COM623M1.doc.doc
This document provides information on the "Intelligent Systems" module, including its code, level, credit points, location, coordinator, content, aims, learning outcomes, teaching methods, and assessment. The module introduces students to intelligent techniques like fuzzy logic, neural networks, and genetic algorithms through both theoretical and practical implementations in Matlab. Students will learn to design and apply these systems to solve problems in computing and engineering.
Victor (Shengli) Sheng
This document is a curriculum vitae for Victor Sheng, who is a PhD candidate at the University of Western Ontario studying data mining, machine learning, and their applications. His research interests include cost-sensitive learning algorithms and applications in various domains. He has published over 20 papers in peer-reviewed conferences and journals. He has also taught several courses as an instructor and teaching assistant and received multiple awards and scholarships for his academic and research achievements.
New Employee Orientation
The document provides an orientation for new employees at Ohio State Newark, outlining the IT equipment and services available including computer setup, network access and drives, email setup and spam filtering, software training resources, room reservations, and how to contact the IT helpdesk for assistance.
Coreference Resolution using Hybrid Approach
The document presents a hybrid approach for coreference resolution that uses different methods for pronouns and non-pronouns. For pronouns, it uses a salience-based technique to find antecedents within 2 sentences by evaluating syntactic and semantic constraints. For non-pronouns, it trains a classifier on coreference pairs to group markables into coreference classes. The approach is evaluated on a test set, achieving a precision of 66.1%, recall of 58.4% and an F1-measure of 62%.
1000263
This document provides information about Delphi, a tier 1 automotive parts manufacturing company, and SAP systems used at Delphi. It discusses Delphi's 5 divisions that manufacture different automotive components. It also summarizes the global common template and non-global common templates used in Delphi's SAP systems, including different production systems, development environments, and SAP versions used. Finally, it mentions plans to consolidate various SAP systems under the main PN1 system and lists some functional and technical SAP streams.
Lecture 7
This lecture covers machine learning concepts including definitions, applications, learning agents, different types of learning (supervised, unsupervised, reinforcement), terms like training set and test set, decision tree learning using information gain to select attributes, and Bayesian learning including Bayes' theorem and naive Bayesian classification of documents. Key applications discussed include spam filtering, autonomous driving, and medical data mining.
Practical Knowledge Representation
The document introduces a system for clustering spam messages using a modified version of constrained k-means clustering called Wave Oriented K Means (WOKM). WOKM clusters incoming spam into distinct types or classes based on relevant message features. It filters out known spam and clusters the remaining messages, updating its knowledge base. This allows it to adapt to changes in spam over time with little human intervention.
Viewers also liked (18)
Similar to ppt
Towards a Computational Model of Melody Identification in Polyphonic Music
Slide de apresentação de artigo da disciplina de Inteligência Artificial sobre modelos de identificação de melodias.
"Towards a Computational Model of Melody Identification in Polyphonic Music"
Creating Ambient Music
This lesson plan focuses on using visual images to generate musical ideas for ambient compositions. Students will watch excerpts from an audiovisual work to see how sound and images are combined. They will then choose a picture from a book to use as inspiration for an in-class ambient composition. Various instruments will be used to improvise and experiment with sounds that match the mood of the selected image. The goal is for students to learn how different art forms can be integrated to spark musical creativity.
Impact of Different Genre of Tamil Cine Music Using Combined Disjoined Block...
Abstract- The subjective nature of listening knowledge of human to different genre of music perception suggests that fuzzy logic is a more appropriate tool for an unsupervised data. Because listening mood environment, personality,age, cultural background etc, can be decide that what kind of music we hear mostly. This paper is organized as follows. In section 1, we introduce the general ideas in music and its different genres. The proposed method of fuzzy logic (CDBFCMs)is given in Section2. Section 3 give the description of the problem and hidden pattern and the conclusion in Section4.
Nithin Xavier research_proposal
The document discusses developing a model to compose monophonic world music using deep learning techniques. It proposes using a bi-axial recurrent neural network with one axis representing time and the other representing musical notes. The network will be trained on a dataset of MIDI files describing pitch, timing, and velocity of notes. It will also incorporate information from music theory on scales, chords, and other elements extracted from sheet music files. The goal is to generate unique musical sequences while adhering to music theory rules. The model aims to address the problem of composing long durations of background music for public spaces in an automated way.
Evolutionary Music Composer Integrating Formal Grammar.
This document describes an autonomous music composition system that uses genetic algorithms to generate musical motifs and phrases. It evaluates the generated music using three criteria: intervals between notes, frequency ratios, and a formal grammar. The formal grammar is based on common chord progressions and rules of music theory. The system generates motifs in Stage 1 and combines them using transpositions to form musical phrases in Stage 2. The generated music is evaluated at each stage to select for musically sound phrases. At the end of Stage 2, a four-phrase musical piece is created in the common music form of ABA'.
Computational models of symphonic music
Computational models of symphonic music face various challenges due to the genre's formal complexity, long durations, complex instrumentation, and overlapping sources. Researchers are developing approaches to address melody extraction, structural analysis, source separation, and music visualization for symphonic works. For melody extraction, current methods perform best on simple excerpts but struggle with density and complexity, indicating the need for combined audio-score approaches. Structural analysis of symphonies requires consideration of tonality, orchestration, and discrepancies between expert analyses. Source separation aims to isolate instrument sections from multi-channel recordings.
Identifying Successful Melodic Similarity Algorithms for use in Music
The document discusses research on identifying successful algorithms for measuring melodic similarity that can be used in music information retrieval applications. It describes a listening experiment conducted with 34 subjects to rate the similarity of melodic variations on a theme. Correlation analysis was used to check the consistency of subject ratings. Two main algorithms are discussed that measure melodic similarity based on pitch differences between notes over time windows, with weights applied based on duration or metrical stress. The researchers are analyzing the results to determine which musical features lead to the most accurate algorithms according to human similarity judgments.
Graphical visualization of musical emotions
The document discusses graphical visualization of musical emotions using artificial neural networks. 13 audio features are extracted from Hindustani classical music clips labeled as happy or sad. An ANN model with backpropagation algorithm is trained on 70% of data, validated on 15% and tested on 15%. The model correctly classified 15 of 17 happy clips and 21 of 22 sad clips. Testing was repeated 10 times with over 90% accuracy each time, showing the model effectively recognizes musical emotions. Future work involves expanding the model to recognize additional emotions and incorporating physiological features.
Musicology Presentation
The document provides an overview of musicology and the requirements for an assessment in a musicology module. It discusses the history and goals of musicology, focusing on analyzing popular music. The assessment consists of a 2,000-word essay analyzing a musical work and a 5-minute technological presentation on a musicological topic. The essay must use concepts like form, harmony, melody, and rhythm to analyze compositions.
Adam KTIP 1
The lesson plan focuses on warming up the choir, sight reading to improve musical skills, and self-evaluating a recorded performance to identify areas for improvement before an upcoming performance assessment. Various exercises and activities are outlined to engage students through visual, auditory, and kinesthetic methods. The goal is for the choir to refine their performance of selected pieces in order to meet criteria on the choral festival rubric.
The kusc classical music dataset for audio key finding
In this paper, we present a benchmark dataset based on the KUSC classical music collection and provide
baseline key-finding comparison results. Audio key finding is a basic music information retrieval task; it
forms an essential component of systems for music segmentation, similarity assessment, and mood
detection. Due to copyright restrictions and a labor-intensive annotation process, audio key finding
algorithms have only been evaluated using small proprietary datasets to date. To create a common base for
systematic comparisons, we have constructed a dataset comprising of more than 3,000 excerpts of classical
music. The excerpts are made publicly accessible via commonly used acoustic features such as pitch-based
spectrograms and chromagrams. We introduce a hybrid annotation scheme that combines the use of title
keys with expert validation and correction of only the challenging cases. The expert musicians also provide
ratings of key recognition difficulty. Other meta-data include instrumentation. As demonstration of use of
the dataset, and to provide initial benchmark comparisons for evaluating new algorithms, we conduct a
series of experiments reporting key determination accuracy of four state-of-the-art algorithms. We further
show the importance of considering factors such as estimated tuning frequency, key strength or confidence
value, and key recognition difficulty in key finding. In the future, we plan to expand the dataset to include
meta-data for other music information retrieval tasks.
Collins
Tom Collins is a PhD student at the Centre for Research in Computing studying how current methods for pattern discovery in music can be improved and integrated into an automated composition system. He is improving pattern discovery algorithms in two ways: 1) developing a new formula to rate discovered patterns based on empirical user ratings, and 2) creating a new algorithm called SIACT that outperforms existing algorithms at finding translational patterns based on benchmarks set by a music analyst. His presentation will demonstrate these improvements and how they are incorporated into a user interface.
09-07-ACA-Temporal-Structure.pdf
This document discusses music structure detection. It introduces self-similarity matrices which show pairwise similarities between segments of a song and can be used to detect structural changes based on novelty, homogeneity, or repetitions. Ground truth annotations of music structure are challenging due to ambiguity and different hierarchical levels. Typical accuracy of automatic structure detection ranges from 50-70% compared to human annotations.
Affective-Driven Music Production
This document discusses a system for controlling the emotional content of pre-composed music to express an intended emotion. The system uses a knowledge base mapping music features like rhythm, melody, and instrumentation to emotional dimensions of valence and arousal. Music is selected and transformed based on these mappings. The system was evaluated and shown to be effective, correctly selecting music with correlations of 87.4% for valence and 84.8% for arousal, and transforming music with correlations of 67.8% for valence and 69.4% for arousal. The system allows customizing music to express different emotions through automated selection and transformation of pre-existing music.
Ncea level one 2012
The document provides a course outline and instructions for students taking NCEA Music Level 1 at Hamilton's Fraser High School in 2012. It outlines the 6 achievement standards students will work towards, providing the title, credits, and due dates for assignments or exams for each. It also provides more detailed instructions and assessment criteria for two of the achievement standards - 1.1 to perform as a soloist, and 1.2 to perform as part of an ensemble. Assessment materials like mark sheets are also included.
Session 1 Musicology Introduction
This lecture provides an overview of musicology and how it relates to the analysis of popular music. It discusses the history of musicology focusing originally on art music, and how it has expanded to include popular music. The goals of the module are introduced as analyzing popular music forms, developing critical skills, and improving writing and presentation abilities. An overview of the course schedule is given along with details on assessments, which include a group presentation and written essay. Various analytical tools and layers involved in analyzing songs, arrangements, and recorded tracks are defined and examples are discussed.
Extraction and Conversion of Vocals
This document discusses a method for extracting vocals from songs and converting them to instrumental covers using deep learning techniques. It involves using the Spleeter library to separate vocals from music tracks. The extracted vocals can then be converted to instrumental covers for different instruments using a DDSP (Differentiable Digital Signal Processing) library combined with pretrained convolutional neural networks. This allows generating instrumental covers from songs to help music students learn instruments without relying on professionals to create covers. The proposed approach could make a variety of instrumental covers more widely available and assist those learning music.
MUSIC MNEMONICS - Glee El Blanco.pptx
This study examined the impact of using music mnemonics on students' recall of information about three Romantic composers. 120 students took a pre-test and were randomly assigned to an experimental or control group. The experimental group learned the information set to customized songs while the control used conventional methods. Both groups took a post-test, with the experimental group scoring significantly higher. Focus groups found the songs were engaging, helped learning, and boosted interest compared to traditional methods. The study suggests music mnemonics can effectively enhance students' recall of academic content.
Chunkingmusictheorydemo
This presentation was given as part of my interview for Assistant Professor of Piano & Theory at Abraham Baldwin Agricultural College in Tifton, Ga. Using aspects of chunking, pattern recognition, and schemata, students will gain proficiency in sight-reading at the piano.
Chunkingmusictheorydemo
The document discusses the importance of understanding basic music theory elements like intervals, chords, scales and progressions. It explains that mastering these building blocks helps with pattern recognition, sight reading, analysis and composition. The presentation emphasizes using chunking techniques to group individual musical notes into larger patterns and units. Examples are provided to illustrate how scales, chords, arpeggios and progressions can be recognized as recurring patterns in famous musical works.
Similar to ppt (20)
Towards a Computational Model of Melody Identification in Polyphonic Music
Towards a Computational Model of Melody Identification in Polyphonic Music
Impact of Different Genre of Tamil Cine Music Using Combined Disjoined Block...
Impact of Different Genre of Tamil Cine Music Using Combined Disjoined Block...
Evolutionary Music Composer Integrating Formal Grammar.
Evolutionary Music Composer Integrating Formal Grammar.
Identifying Successful Melodic Similarity Algorithms for use in Music
Identifying Successful Melodic Similarity Algorithms for use in Music
The kusc classical music dataset for audio key finding
The kusc classical music dataset for audio key finding
More from butest
EL MODELO DE NEGOCIO DE YOUTUBE
Este documento analiza el modelo de negocio de YouTube. Explica que YouTube y otros sitios de video online representan un nuevo modelo de negocio para contenidos audiovisuales debido al cambio en los hábitos de consumo causado por las nuevas tecnologías. Describe cómo YouTube aprovecha la participación de los usuarios para mejorar continuamente y atraer una audiencia diferente a la de los medios tradicionales.
LESSONS FROM THE MICHAEL JACKSON TRIAL
The defense was successful in portraying Michael Jackson favorably to the jury in several ways:
1) They dressed Jackson in ornate costumes that conveyed images of purity, innocence, and humility.
2) Jackson was shown entering the courtroom as if on a red carpet, emphasizing his celebrity status.
3) Jackson appeared vulnerable, childlike, and in declining health during the trial, eliciting sympathy from jurors.
4) Defense attorney Tom Mesereau effectively presented a coherent narrative of Jackson as a victim and portrayed Neverland as a place of refuge, undermining the prosecution's arguments.
Timeline: The Life of Michael Jackson
Michael Jackson was born in 1958 in Gary, Indiana and rose to fame in the 1960s as the lead singer of The Jackson 5, topping music charts in the 1970s. As a solo artist in the 1980s, his album Thriller broke music records. In the 1990s and 2000s, Jackson faced several legal issues related to child abuse allegations while continuing to release music. He married Lisa Marie Presley and Debbie Rowe and had two children before his death in 2009.
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
This document appears to be a list of popular books from various authors. It includes over 150 book titles across many genres such as fiction, non-fiction, memoirs, and novels. The books cover a wide range of topics from politics to cooking to autobiographies.
LESSONS FROM THE MICHAEL JACKSON TRIAL
The prosecution lost the Michael Jackson trial due to several key mistakes and weaknesses in their case:
1) The lead prosecutor, Thomas Sneddon, was too personally invested in the case against Jackson, having pursued him for over a decade without success.
2) Sneddon's opening statement was disorganized and weak, failing to effectively outline the prosecution's case.
3) The accuser's mother was not credible and damaged the prosecution's case through her erratic testimony, history of lies and con artist behavior.
4) Many prosecution witnesses were not credible due to prior lawsuits against Jackson, debts owed to him, or having been fired by him. Several witnesses even took the Fifth Amendment.
Com 380, Summer II
Here are three examples of public relations from around the world:
1. The UK government's "Be Clear on Cancer" campaign which aims to raise awareness of cancer symptoms and encourage early diagnosis.
2. Samsung's global brand marketing and sponsorship activities which aim to increase brand awareness and favorability of Samsung products worldwide.
3. The Brazilian government's efforts to improve its international image and relations with other countries through strategic communication and diplomacy.
The three most important functions of public relations are:
1. Media relations because the media is how most organizations reach their key audiences. Strong media relationships are crucial.
2. Writing, because written communication is at the core of public relations and how most information is
PPT
Michael Jackson Please Wait... provides biographical information about Michael Jackson including his birthdate, birthplace, parents, height, interests, idols, favorite foods, films, and more. It discusses his background, career highlights including influential albums like Thriller, and films he appeared in such as The Wiz and Moonwalker. The document contains photos and details about Jackson's life and illustrious music career.
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The document discusses the process of manufacturing celebrity and its negative byproducts. It argues that celebrities are rarely the best in their individual pursuits like singing, dancing, etc. but become famous due to being products of a system controlled by wealthy elites. This system stifles opportunities for worthy artists and creates feudalism. The document also asserts that manufactured celebrities should not be viewed as role models due to behaviors like drug abuse and narcissism that result from the celebrity-making process.
MICHAEL JACKSON.doc
Michael Jackson was a child star who rose to fame with the Jackson 5 in the late 1960s and early 1970s. As a solo artist in the 1970s and 1980s, he had immense commercial success with albums like Off the Wall, Thriller, and Bad, which featured hit singles and groundbreaking music videos. However, his career and public image were plagued by controversies related to allegations of child sexual abuse in the 1990s and 2000s. He continued recording and performing but faced ongoing media scrutiny into his private life until his death in 2009.
Social Networks: Twitter Facebook SL - Slide 1
The document discusses using social networking tools like Twitter and Facebook in K-12 education. Twitter allows students and teachers to share short updates and can be used to give parents a window into classroom activities. Facebook allows targeted advertising that could be used to promote educational activities. Both tools could help facilitate communication between schools and communities if used properly while managing privacy and security concerns.
Facebook
Facebook has over 300 million active users who log on daily, and allows brands to create public profile pages to interact with users. Pages are for brands and organizations only, while groups can be made by any user about any topic. Pages do not show admin names and have no limits on fans, while groups display admin names and are limited to 5,000 members. Content on pages should aim to provoke action from subscribers and establish a regular posting schedule using a conversational tone.
Executive Summary Hare Chevrolet is a General Motors dealership ...
Hare Chevrolet is a car dealership located in Noblesville, Indiana that has successfully used social media platforms like Twitter, Facebook, and YouTube to create a positive brand image. They invest significant time interacting directly with customers online to foster a sense of community rather than overtly advertising. As a result, Hare Chevrolet has built a large, engaged audience on social media and serves as a model for how brands can use online presences strategically.
Welcome to the Dougherty County Public Library's Facebook and ...
This document provides instructions for signing up for Facebook and Twitter accounts. It outlines the sign up process for both platforms, including filling out forms with name, email, password and other details. It describes how the platforms will then search for friends and suggest people to connect with. It also explains how to search for and follow the Dougherty County Public Library page on both Facebook and Twitter once signed up. The document concludes by thanking participants and providing a contact for any additional questions.
NEWS ANNOUNCEMENT
Paragon Software announces the release of Paragon NTFS for Mac OS X 8.0, which provides full read and write access to NTFS partitions on Macs. It is the fastest NTFS driver on the market, achieving speeds comparable to native Mac file systems. Paragon NTFS for Mac 8.0 fully supports the latest Mac OS X Snow Leopard operating system in 64-bit mode and allows easy transfer of files between Windows and Mac partitions without additional hardware or software.
C-2100 Ultra Zoom.doc
This document provides compatibility information for Olympus digital products used with Macintosh OS X. It lists various digital cameras, photo printers, voice recorders, and accessories along with their connection type and any notes on compatibility. Some products require booting into OS 9.1 for software compatibility or do not support devices that need a serial port. Drivers and software are available for download from Olympus and other websites for many products to enable use with OS X.
MAC Printing on ITS Printers.doc.doc
To use printers managed by the university's Information Technology Services (ITS), students and faculty must install the ITS Remote Printing software on their Mac OS X computer. This allows them to add network printers, log in with their ITS account credentials, and print documents while being charged per page to funds in their pre-paid ITS account. The document provides step-by-step instructions for installing the software, adding a network printer, and printing to that printer from any internet connection on or off campus. It also explains the pay-in-advance printing payment system and how to check printing charges.
Mac OS X Guide.doc
The document provides an overview of the Mac OS X user interface for beginners, including descriptions of the desktop, login screen, desktop elements like the dock and hard disk, and how to perform common tasks like opening files and folders. It also addresses frequently asked questions for Windows users switching to Mac OS X, such as where documents are stored, how to save or find documents, and what the equivalent of the C: drive is in Mac OS X. The document concludes with sections on file management tasks like creating and deleting folders, organizing files within applications, using Spotlight search, and an overview of the Dashboard feature.
hier
This document provides a checklist for securing Mac OS X version 10.5, focusing on hardening the operating system, securing user accounts and administrator accounts, enabling file encryption and permissions, implementing intrusion detection, and maintaining password security. It describes the Unix infrastructure and security framework that Mac OS X is built on, leveraging open source software and following the Common Data Security Architecture model. The checklist can be used to audit a system or harden it against security threats.
WEB DESIGN!
This document summarizes a course on web design that was piloted in the summer of 2003. The course was a 3 credit course that met 4 times a week for lectures and labs. It covered topics such as XHTML, CSS, JavaScript, Photoshop, and building a basic website. 18 students from various majors enrolled. Student and instructor evaluations found the course to be very successful overall, though some improvements were suggested like ensuring proper software and pairing programming/non-programming students. The document also discusses implications of incorporating web design material into existing computer science curriculums.
More from butest (20)
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...
ppt
- 1. 11 Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of Musical Expression 99419-811 이 인 복