Quiz
Machine Learning for Audio and Acoustics
Questions in this quiz (4)
1Which of the following statements is correct regarding the difference between a machine learning (ML) system and an expert system?
- AML systems are fed with input data to learn rules that can be applied to unknown data
- BML systems are fed with input to learn rules and they combine such rules to unknown data
- CExpert systems are fed with input rules that can be applied to unknown data
- DExpert systems are fed with input data and they learn rules that can be applied to unknown data
2Which of the following disciplines is not related to machine listening?
- AWireless communications
- BSignal processing
- CMusic and Acoustics
- DMachine learning
3What can be a drawback of machine learning approaches with respect to classic signal processing?
- ASignal processing methods are based on models that approximate a given problem, providing better intuition about their functioning, while machine learning models can be a black box.
- BMachine learning approaches are far more computational complex than signal processing
4Which of the following research areas is not directly included within computational auditory scene analysis?
- ASound source synthesis
- BSound source location
- CSound event detection
- DSound scene classification
Information
- Description
- Engineering Quiz on Machine Learning for Audio and Acoustics, created by Karin Hulling on 29/12/2020.
- Author
- Karin Hulling
- Language
- English
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