References in zbMATH (referenced in 10 articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Julien Siebert, Janek Groß, Christof Schroth: A systematic review of Python packages for time series analysis (2021) arXiv
  2. Marc Schönwiesner; Ole Bialas: s(ound)lab: An easy to learn Python package for designing and running psychoacoustic experiments (2021) not zbMATH
  3. Meinard Müller; Frank Zalkow: libfmp: A Python Package for Fundamentals of Music Processing (2021) not zbMATH
  4. Piotr Żelasko, Daniel Povey, Jan ”Yenda” Trmal, Sanjeev Khudanpur: Lhotse: a speech data representation library for the modern deep learning ecosystem (2021) arXiv
  5. Yang, Y.-Y., Hira, M., Ni, Z., Chourdia, A., Astafurov, A., Chen, C., Yeh, C.-F., Puhrsch, C., Pollack, D., Genzel, D., Greenberg, D., Yang, E. Z., Lian, J., Mahadeokar, J., Hwang, J., Chen, J., Goldsborough, P., Roy, P., Narenthiran, S., Watanabe, S., Chintala, S., Quenneville-Bélair, V, Shi, Y.: TorchAudio: Building Blocks for Audio and Speech Processing (2021) arXiv
  6. Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su: Omnizart: A General Toolbox for Automatic Music Transcription (2021) arXiv
  7. António Ramires, Gilberto Bernardes, Matthew E. P. Davies, Xavier Serra: TIV.lib: an open-source library for the tonal description of musical audio (2020) arXiv
  8. Raphael Lenain, Jack Weston, Abhishek Shivkumar, Emil Fristed: Surfboard: Audio Feature Extraction for Modern Machine Learning (2020) arXiv
  9. Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan: Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation (2019) arXiv
  10. Zhaoheng Ni, Michael I Mandel: Onssen: an open-source speech separation and enhancement library (2019) arXiv