tag:joss.theoj.org,2005:/papers/tagged/auditJournal of Open Source Software2023-07-03T17:35:10ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43032023-07-03T17:35:10Z2023-07-04T00:01:24ZOlaf: a lightweight, portable audio search systemacceptedv0.92023-03-13 15:54:35 UTC872023-07-03 17:35:10 UTC820235459JorenSixIPEM, Ghent University, Belgium0000-0001-7671-190710.21105/joss.05459https://doi.org/10.5281/zenodo.8093527C++, C, Rubyhttps://joss.theoj.org/papers/10.21105/joss.05459.pdfAcoustic fingerprinting, Music Information Retreival, ANSI Ctag:joss.theoj.org,2005:Paper/39782023-03-20T21:29:26Z2023-03-22T16:52:29ZSpeakerbox: Few-Shot Learning for Speaker Identification with Transformersacceptedv1.0.02022-10-25 02:59:17 UTC832023-03-20 21:29:26 UTC820235132EvaMaxfieldBrownUniversity of Washington Information School, University of Washington, Seattle0000-0003-2564-0373ToHuynhUniversity of Washington, Seattle0000-0002-9664-3662NicholasWeberUniversity of Washington Information School, University of Washington, Seattle0000-0002-6008-376310.21105/joss.05132https://doi.org/10.5281/zenodo.7729994just, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05132.pdfspeaker identification, audio classification, machine learning, transformerstag:joss.theoj.org,2005:Paper/37252023-01-27T10:34:20Z2023-01-28T00:01:29ZSpafe: Simplified python audio features extractionacceptedv0.2.02022-07-14 20:42:56 UTC812023-01-27 10:34:20 UTC820234739AyoubMalekYoummday GmbH0000-0002-9008-756210.21105/joss.04739https://doi.org/10.5281/zenodo.7533946Pythonhttps://joss.theoj.org/papers/10.21105/joss.04739.pdfSignal processing, time-frequency analysis, audio features extractiontag:joss.theoj.org,2005:Paper/36962022-10-11T14:53:01Z2022-10-12T00:01:03ZPanako: a scalable audio search systemaccepted2.12022-07-01 13:20:49 UTC782022-10-11 14:53:01 UTC720224554JorenSixIPEM, Ghent University, Belgium0000-0001-7671-190710.21105/joss.04554https://doi.org/10.5281/zenodo.7185611Ruby, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04554.pdfAcoustic fingerprinting, Music Information Retreival, Java softwaretag:joss.theoj.org,2005:Paper/25932021-12-10T01:52:14Z2021-12-11T00:01:50ZOmnizart: A General Toolbox for Automatic Music Transcriptionacceptedv0.3.22021-04-24 02:10:31 UTC682021-12-10 01:52:14 UTC620213391Yu-TeWuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanYin-JyunLuoMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanTsung-PingChenMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanI-ChiehWeiMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanJui-YangHsuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanYi-ChinChuangMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanLiSuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, Taiwan10.21105/joss.03391https://doi.org/10.5281/zenodo.5769022Pythonhttps://joss.theoj.org/papers/10.21105/joss.03391.pdfautomatic music transcription, music information retrieval, audio signal processing, artificial intelligencetag:joss.theoj.org,2005:Paper/15802021-12-01T22:44:54Z2021-12-06T10:17:14ZJASP for Audit: Bayesian Tools for the Auditing Practiceacceptedv1.0.02020-03-09 11:53:34 UTC682021-12-01 22:44:54 UTC620212733KoenDerksNyenrode Business University, the NetherlandsJacquesde SwartNyenrode Business University, the Netherlands, PwC Advisory, the NetherlandsEric-JanWagenmakersUniversity of Amsterdam, the NetherlandsJanWillePwC Advisory, the NetherlandsRuudWetzelsNyenrode Business University, the Netherlands, PwC Advisory, the Netherlands10.21105/joss.02733https://doi.org/10.5281/zenodo.5690283R, QMLhttps://joss.theoj.org/papers/10.21105/joss.02733.pdfaudit, Bayesian statistics, financial auditing, JfAtag:joss.theoj.org,2005:Paper/25812021-06-25T13:35:27Z2021-06-26T00:00:36Zs(ound)lab: An easy to learn Python package for designing and running psychoacoustic experiments.acceptedv0.9.02021-04-19 20:12:05 UTC622021-06-25 13:35:27 UTC620213284MarcSchönwiesnerInstitute of Biology, Faculty of Life sciences, Leipzig University, Germany, Institute of Psychology, Faculty of Arts and Sciences, University of Montreal, Canada0000-0002-2023-1207OleBialasInstitute of Biology, Faculty of Life sciences, Leipzig University, Germany10.21105/joss.03284https://doi.org/10.5281/zenodo.5029602Pythonhttps://joss.theoj.org/papers/10.21105/joss.03284.pdfpsychoacoustics, audio, signal processing, teachingtag:joss.theoj.org,2005:Paper/22852021-04-07T21:31:55Z2021-04-08T00:01:13ZRBF: An R package to compute a robust backfitting estimator for additive modelsacceptedv2.0.12020-12-24 14:26:59 UTC602021-04-07 21:31:55 UTC620212992AlejandraM.MartínezDepartamento de Ciencias Básicas, Universidad Nacional de Luján, Argentina0000-0002-1893-2039MatiasSalibian-BarreraDepartment of Statistics, University of British Columbia, Canada0000-0003-1873-461110.21105/joss.02992https://doi.org/10.5281/zenodo.4637759Rhttps://joss.theoj.org/papers/10.21105/joss.02992.pdfBackfitting, Additive models, Robustnesstag:joss.theoj.org,2005:Paper/15262020-08-05T01:14:56Z2021-02-15T11:30:57Zaudiomate: A Python package for working with audio datasetsacceptedv5.2.02020-02-25 19:52:23 UTC522020-08-05 01:14:56 UTC520202135MatthiasBüchiZHAW Zurich University of Applied Sciences, Winterthur, Switzerland0000-0003-0207-5711AndreasAhlenstorfZHAW Zurich University of Applied Sciences, Winterthur, Switzerland10.21105/joss.02135https://doi.org/10.5281/zenodo.3970567Pythonhttps://joss.theoj.org/papers/10.21105/joss.02135.pdfaudio, speech, music, corpus, datasettag:joss.theoj.org,2005:Paper/11502019-11-08T18:46:11Z2021-02-15T11:31:48ZKanapy: A Python package for generating complex synthetic polycrystalline microstructuresacceptedv0.0.12019-08-09 07:51:46 UTC432019-11-08 18:46:11 UTC420191732MaheshR.g.PrasadInterdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany.0000-0003-2546-0161NapatVajraguptaInterdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany.0000-0001-6085-7493AlexanderHartmaierInterdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany.0000-0002-3710-116910.21105/joss.01732https://doi.org/10.5281/zenodo.3529591Python, C++https://joss.theoj.org/papers/10.21105/joss.01732.pdfMicrostructure modeling, Additive manufacturing, Particle packing, Collision detection, Spatial partitioning, Voxelization