Downstream Task Performance of Pre-Trained Model For Outdoor Audio Event Classification-Reference-Cited by-同舟云学术

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Downstream Task Performance of Pre-Trained Model For Outdoor Audio Event Classification

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
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Author:

Rochadiani Theresia Herlina¹,Heryadi Yaya¹,Sonata Ilvico¹,Lukas ²,Suparta Wawan³

Affiliation:

1. Bina Nusantara University,BINUS Graduate Program- Computer Science,Jakarta,Indonesia

2. Universitas Katolik Indonesia Atma Jaya,Cognitive Engineering Research Group,Jakarta,Indonesia

3. Institut Teknologi Nasional Yogyakarta,Department of Electrical Engineering,Yogyakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402599/10402616/10402656.pdf?arnumber=10402656

Reference18 articles.

1. Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition

2. Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence

3. Acoustic Event Detection and Sound Separation for security systems and IoT devices

4. Extracting Urban Sound Information for Residential Areas in Smart Cities Using an End-to-End IoT System

5. IoT based Urban Noise Monitoring in Deep Learning using Historical Reports

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