Projects: pypi: PyAudio

https://packages.ecosyste.ms/registries/pypi.org/packages/PyAudio

Cross-platform audio I/O with PortAudio
11 versions
Latest release: over 3 years ago
187 dependent packages
222,012 downloads last month

Science Score: 65/100
Starting Score: 100 points
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (65)

Papers Mentioning PyAudio 6

10.3390/s21072376
Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0
Cited by: 20
Author(s): Pavol Tanuška, Lukas Spendla, Michal Kebísek, Rastislav Ďuriš, Maximilián Strémy
Software Mentions: 2
Published: about 5 years ago
10.3390/ma13051228
Wash Testing of Electronic Yarn
Cited by: 20
Author(s): Dorothy Hardy, Zahra Rahemtulla, Achala Satharasinghe, Arash Shahidi, Carlos Oliveira, Ioannis Anastasopoulos, Mohamad Nour Nashed, Matholo Kgatuke, Abiodun Komolafe, Russel Torah, John Tudor, Theodore Hughes‐Riley, Steve Beeby, Tilak Dias
Software Mentions: 1
Published: over 6 years ago
10.3389/fnbot.2020.00028
Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans
Cited by: 13
Author(s): Matthias Kerzel, Theresa Pekarek-Rosin, Erik Strahl, S. Heinrich, Stefan Wermter
Software Mentions: 1
Published: about 6 years ago
10.3390/s18051590
Developing an Acoustic Sensing Yarn for Health Surveillance in a Military Setting
Cited by: 21
Author(s): Theodore Hughes‐Riley, Tilak Dias
Software Mentions: 1
Published: about 8 years ago
10.3390/s20195583
RaveGuard: A Noise Monitoring Platform Using Low-End Microphones and Machine Learning
Cited by: 8
Author(s): Lorenzo Monti, Mattia Vincenzi, Silvia Mirri, Giovanni Pau, Paola Salomoni
Software Mentions: 1
Published: over 5 years ago
10.2196/22753
A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study
Cited by: 11
Author(s): Chia-Wei Yang, Wei Zhang, Zhixuan Pang, Jing Zhang, Deling Zou, Xinzhong Zhang, Sicong Guo, Jiye Wan, Ke Wang, Wenyue Pang
Software Mentions: 1
Published: over 5 years ago