AASP-L6.6
Efficient CNNs via Passive Filter Pruning
Arshdeep Singh, Mark D. Plumbley, King's College London, United Kingdom of Great Britain and Northern Ireland
Session:
AASP-L6: Sound Event Detection and Classification Oral
Track:
Audio and Acoustic Signal Processing [AA]
Location:
Room 127+128
Presentation Time:
Thu, 7 May, 10:40 - 11:00
Presentation
Discussion
Resources
No resources available.
Session AASP-L6
AASP-L6.1: EVALUATING COMPOSITIONAL STRUCTURE IN AUDIO REPRESENTATIONS
Chuyang Chen, Bea Steers, Brian McFee, Juan Bello, New York University, United States of America
AASP-L6.2: Task-Oriented Sound Privacy Preservation for Sound Event Detection via End-to-End Adversarial Multi-task Learning
Nao Sato, Masahiro Yasuda, Shoichiro Saito, NTT, Inc., Japan
AASP-L6.3: WAVESPIKENET: A WAVELET-SPIKING FUSION ARCHITECTURE FOR AUDIO CLASSIFICATION ON EDGE DEVICES
Bin Liu, ShanghaiTech University, China; Wenjuan Li, Bing Li, Chunfeng Yuan, Institute of Automation, Chinese Academy of Sciences, China; Kun Shang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Shaobing Gao, Sichuan University, China; Weiming Hu, Institute of Automation, Chinese Academy of Sciences, China
AASP-L6.4: SCALABLE EVALUATION FOR AUDIO IDENTIFICATION VIA SYNTHETIC LATENT FINGERPRINT GENERATION
Aditya Bhattacharjee, Marco Pasini, Emmanouil Benetos, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
AASP-L6.5: SHARED REPRESENTATION LEARNING FOR REFERENCE-GUIDED TARGETED SOUND DETECTION
Shubham Gupta, Adarsh Arigala, B. R Dilleswari, Sri Rama Murty Kodukula, Indian Institute of Technology Hyderabad, India
AASP-L6.6: Efficient CNNs via Passive Filter Pruning
Arshdeep Singh, Mark D. Plumbley, King's College London, United Kingdom of Great Britain and Northern Ireland
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