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Roger B Dannenberg

Biographic Data

ID1379263
NAMERoger B Dannenberg
GIVEN NAMESRoger B
FAMILY NAMEDannenberg
SIGNATUREDANNENBERG R B
AFFILIATIONSCarnegie Mellon University
ORCID0000-0003-1823-9856
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS4
AUTHOR COUNT6
EDITOR COUNT1
FIRST PUBLICATION YEAR1992
LATEST PUBLICATION YEAR2022
H-INDEX2
  • Personalised popular music generation using imitation and structure

    Shuqi Dai, Xichu Ma et al.•ARTICLE•Journal of New Music Research•2022

    Many practices have been presented in music generation recently. While stylistic music generation using deep learning techniques has became the main stream, these models still struggle to generate music with high musicality, different levels of music structure, and controllability. In addition, more application scenarios such as music therapy require imitating more specific musical styles from a few given music examples, rather than capturing the…

  • Impressions from the SMC Roadmap

    Roger B Dannenberg•ARTICLE•Journal of New Music Research•2007

    A broad view of our field is offered in A Roadmap for Sound and Music Computing. However, additional topics should be considered. The roadmap could go further by suggesting study and involvement in economic and policy analysis. Also, the roadmap does not stress the importance of tool building to support the discipline. It could be beneficial to address directly the issues of ‘‘high'' art vs. entertainment and popular culture, and the field should…

  • Pattern Discovery Techniques for Music Audio

    Roger B Dannenberg, Ning Hu•ARTICLE•Journal of New Music Research•2003•Cited by: 2

    Human listeners are able to recognize structure in music through the perception of repetition and other relationships within a piece of music. This work aims to automate the task of music analysis. Music is "explained" in terms of embedded relationships, especially repetition of segments or phrases. The steps in this process are the transcription of audio into a representation with a similarity or distance metric, the search for similar segments,…

  • Combining instrument and performance models for high-quality music synthesis

    Roger B Dannenberg, Istvan Derenyi•ARTICLE•Journal of New Music Research•1998•Cited by: 2•References: 10

    Convincing synthesis of wind instruments requires more than the reproduction of individual tones. Since the player exerts continuous control over amplitude, frequency, and other parameters, it is not adequate to store simple templates for individual tones and string them together to make phrases. Transitions are important, and the details of a tone are affected by context. To address these problems, we present an approach to music synthesis that …

  • Extending music notation through programming

    Roger B Dannenberg•ARTICLE•Contemporary Music Review•1996

    Traditional notation has led to the continuation of a traditional musical approach in which scores are static descriptions to be realized by performers. Borrowing programming concepts from computer science leads to score-like descriptions with the capability of expressing dynamic processes and interaction with performers. The implications for composition, performance, and future research are discussed

  • Multimedia interface design

    Blessed Numetu, Meera M Blattner et al.•BOOK•Multimedia interface design•1992

    Examines the use of audio, video, graphics, and animation in computer systems, specifically in the design and construction of the computer-human interface. Multimedia extensions to current computer systems allow us to employ our senses in new ways when interacting with the computer.

  • Art/ificial Intelligence

    Roger B Dannenberg, Richard Zach et al.•ARTICLE•Leonardo Music Journal•1992

  • Pattern Discovery Techniques for Music Audio

    Roger B Dannenberg, Ning Hu•ARTICLE•Journal of New Music Research•2003•Cited by: 2

    Human listeners are able to recognize structure in music through the perception of repetition and other relationships within a piece of music. This work aims to automate the task of music analysis. Music is "explained" in terms of embedded relationships, especially repetition of segments or phrases. The steps in this process are the transcription of audio into a representation with a similarity or distance metric, the search for similar segments,…

  • Combining instrument and performance models for high-quality music synthesis

    Roger B Dannenberg, Istvan Derenyi•ARTICLE•Journal of New Music Research•1998•Cited by: 2•References: 10

    Convincing synthesis of wind instruments requires more than the reproduction of individual tones. Since the player exerts continuous control over amplitude, frequency, and other parameters, it is not adequate to store simple templates for individual tones and string them together to make phrases. Transitions are important, and the details of a tone are affected by context. To address these problems, we present an approach to music synthesis that …

  • Multimedia interface design

    Blessed Numetu, Meera M Blattner et al.•BOOK•Multimedia interface design•1992

    Examines the use of audio, video, graphics, and animation in computer systems, specifically in the design and construction of the computer-human interface. Multimedia extensions to current computer systems allow us to employ our senses in new ways when interacting with the computer.

  • Art/ificial Intelligence

    Roger B Dannenberg, Richard Zach et al.•ARTICLE•Leonardo Music Journal•1992

  • Extending music notation through programming

    Roger B Dannenberg•ARTICLE•Contemporary Music Review•1996

    Traditional notation has led to the continuation of a traditional musical approach in which scores are static descriptions to be realized by performers. Borrowing programming concepts from computer science leads to score-like descriptions with the capability of expressing dynamic processes and interaction with performers. The implications for composition, performance, and future research are discussed

  • Combining instrument and performance models for high-quality music synthesis

    Roger B Dannenberg, Istvan Derenyi•ARTICLE•Journal of New Music Research•1998•Cited by: 2•References: 10

    Convincing synthesis of wind instruments requires more than the reproduction of individual tones. Since the player exerts continuous control over amplitude, frequency, and other parameters, it is not adequate to store simple templates for individual tones and string them together to make phrases. Transitions are important, and the details of a tone are affected by context. To address these problems, we present an approach to music synthesis that …

  • Pattern Discovery Techniques for Music Audio

    Roger B Dannenberg, Ning Hu•ARTICLE•Journal of New Music Research•2003•Cited by: 2

    Human listeners are able to recognize structure in music through the perception of repetition and other relationships within a piece of music. This work aims to automate the task of music analysis. Music is "explained" in terms of embedded relationships, especially repetition of segments or phrases. The steps in this process are the transcription of audio into a representation with a similarity or distance metric, the search for similar segments,…

  • Impressions from the SMC Roadmap

    Roger B Dannenberg•ARTICLE•Journal of New Music Research•2007

    A broad view of our field is offered in A Roadmap for Sound and Music Computing. However, additional topics should be considered. The roadmap could go further by suggesting study and involvement in economic and policy analysis. Also, the roadmap does not stress the importance of tool building to support the discipline. It could be beneficial to address directly the issues of ‘‘high'' art vs. entertainment and popular culture, and the field should…

  • Personalised popular music generation using imitation and structure

    Shuqi Dai, Xichu Ma et al.•ARTICLE•Journal of New Music Research•2022

    Many practices have been presented in music generation recently. While stylistic music generation using deep learning techniques has became the main stream, these models still struggle to generate music with high musicality, different levels of music structure, and controllability. In addition, more application scenarios such as music therapy require imitating more specific musical styles from a few given music examples, rather than capturing the…

Computer Science (7 works) · Art (5 works) · Music Technology and Sound Studies (5 works) · Music and Audio Processing (4 works) · Visual arts (4 works) · Musical (3 works) · Neuroscience and Music Perception (3 works) · Speech recognition (3 works) · Acoustics (2 works) · Artificial Intelligence (2 works)

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