The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model

no code implementations • 1 Mar 2024 • Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler

In this paper, we propose a deep learning based model for Acoustic Anomaly Detection of Machines, the task for detecting abnormal machines by analysing the machine sound.

Anomaly Detection Data Augmentation +2

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts

no code implementations • 29 Jan 2024 • Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Seidl Michael, Alexander Schindler

For this reason, the role of sentence embedding is crucial for capturing both the semantic information between words in the sentence and the contextual relationship of sentences within the abstract to provide a comprehensive representation for better classification.

Sentence Sentence Classification +2

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices

no code implementations • 23 Mar 2022 • Lam Pham, Khoa Dinh, Dat Ngo, Hieu Tang, Alexander Schindler

In this paper, we present a robust and low complexity system for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording.

Acoustic Scene Classification Scene Classification