# Anomalous sound event detection: A survey of machine learning based methods and applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/anomalous-sound-event-detection-a-survey-of-machine-learning-based-methods-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zied Mnasri,Stefano Rovetta,Francesco Masulli |
| Citations | 79 |
| DOI | 10.1007/s11042-021-11817-9 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4200337780 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Stefano Rovetta](https://scholariq.org/researchers/stefano-rovetta/)
- [Francesco Masulli](https://scholariq.org/researchers/francesco-masulli/)

## Paper primary topic

- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)

## Paper topics

- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.