edgel3’s documentation!¶
edgel3 is an open-source Python library for downloading smaller L3 models and computing deep audio embeddings from such models for edge applications.
[1] Specialized Embedding Approximation for Edge Intelligence: A case study in Urban Sound Classification
Sangeeta Srivastava, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, and Anish Arora.
To be published in IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, June 2021.
[2] EdgeL3: Compressing L3-Net for Mote-Scale Urban Noise Monitoring
Sangeeta Kumari, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, and Anish Arora.
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, May 2019.
Citations for edgel3¶
[1] Specialized Embedding Approximation for Edge Intelligence: A case study in Urban Sound Classification
Sangeeta Srivastava, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, and Anish Arora.
To be published in IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, June 2021.
[2] EdgeL3: Compressing L3-Net for Mote-Scale Urban Noise Monitoring
Sangeeta Kumari, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, and Anish Arora.
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, May 2019.
[3] Look, Listen and Learn More: Design Choices for Deep Audio Embeddings
Jason Cramer, Ho-Hsiang Wu, Justin Salamon, and Juan Pablo Bello.
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pages 3852-3856, Brighton, UK, May 2019.
[4] Look, Listen and Learn
Relja Arandjelović and Andrew Zisserman
IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017.