skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 2

Search for: All records

Creators/Authors contains: "McFee, Brian"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; ; (, IEEE)
    Full Text Available 
  2. ; ; (, International Society for Music Information Retrieval Conference (ISMIR), 2023)
    Accepted Manuscript Full Text Available
  3. ; (, Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023))
    Accepted Manuscript Full Text Available
  4. ; (, Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023))
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; ; ; (, Zenodo)
    Description This dataset comprises embeddings and captions utilized as the development dataset for DCASE 2024 Challenge Task 7, focusing on 'Environmental Sound Scene Synthesis.' The embeddings are derived from 60 different 4-second audio files formatted as mono 32-bit 32kHz, and are contained in the 'embeddings.tar.xz' file. Captions corresponding to each audio file can be found in 'caption.csv'. This dataset does not comprise the audio files, only the embeddings. Three different types of embeddings are provided: VGGish (vggish), MS-CLAP (clap-2023), and PANNs CNN14 Wavegram-Logmel (panns-wavegram-logmel). Only PANNs CNN14 Wavegram-Logmel (panns-wavegram-logmel) embeddings are used for evaluation in the challenge. For further details, please refer to the challenge website. Contact Modan Tailleur, modan.tailleur@ls2n.fr Mathieu Lagrange, mathieu.lagrange@ls2n.fr 
    more » « less
  6. ; ; ; ; ; ; ; (, Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023))
    Accepted Manuscript Full Text Available
  7. ; (, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021)
    null (Ed.)
    Full Text Available 
  8. ; ; ; ; ; ; (, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021)
    null (Ed.)
    Full Text Available 
  9. ; ; ; ; (, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))
    null (Ed.)
    To explain the consonance of octaves, music psychologists represent pitch as a helix where azimuth and axial coordinate correspond to pitch class and pitch height respectively. This article addresses the problem of discovering this helical structure from unlabeled audio data. We measure Pearson correlations in the constant-Q transform (CQT) domain to build a K-nearest neighbor graph between frequency subbands. Then, we run the Isomap manifold learning algorithm to represent this graph in a three-dimensional space in which straight lines approximate graph geodesics. Experiments on isolated musical notes demonstrate that the resulting manifold resembles a helix which makes a full turn at every octave. A circular shape is also found in English speech, but not in urban noise. We discuss the impact of various design choices on the visualization: instrumentarium, loudness mapping function, and number of neighbors K. 
    more » « less
    Full Text Available 
  10. ; ; (, IEEE/ACM Transactions on Audio, Speech, and Language Processing)
    Full Text Available