A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies
This paper presents a deep learning system applied for detecting anomalies from respiratory
sound recordings. Our system initially performs audio feature extraction using Continuous …
sound recordings. Our system initially performs audio feature extraction using Continuous …
An audio-visual dataset and deep learning frameworks for crowded scene classification
In this paper, we present the task of audio-visual scene classification (SC) where input
videos are classified into one of five real-life crowded scenes:'Riot','Noise-Street','Firework …
videos are classified into one of five real-life crowded scenes:'Riot','Noise-Street','Firework …
A low-complexity deep learning framework for acoustic scene classification
In this paper, we presents a low-complexity deep learning frameworks for acoustic scene
classification (ASC). The proposed framework can be separated into three main steps: Front …
classification (ASC). The proposed framework can be separated into three main steps: Front …
Towards Unsupervised Speaker Diarization System for Multilingual Telephone Calls Using Pre-trained Whisper Model and Mixture of Sparse Autoencoders
Existing speaker diarization systems heavily rely on large amounts of manually annotated
data, which is labor-intensive and challenging to collect in real-world scenarios. Additionally …
data, which is labor-intensive and challenging to collect in real-world scenarios. Additionally …
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
In this paper, we present a deep learning based multimodal system for classifying daily life
videos. To train the system, we propose a two-phase training strategy. In the first training …
videos. To train the system, we propose a two-phase training strategy. In the first training …
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
In this technical report, a low-complexity deep learning system for acoustic scene
classification (ASC) is presented. The proposed system comprises two main phases:(Phase …
classification (ASC) is presented. The proposed system comprises two main phases:(Phase …
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms
In this paper, we present a light-weight deep learning based system for acoustic scene
classification (ASC), which is armed to be integrated into an Internet of Sound (IoS) system …
classification (ASC), which is armed to be integrated into an Internet of Sound (IoS) system …
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations
J Zaragoza-Paredes, J Naranjo-Alcazar… - arXiv preprint arXiv …, 2022 - arxiv.org
Acoustic scene classification is an automatic listening problem that aims to assign an audio
recording to a pre-defined scene based on its audio data. Over the years (and in past …
recording to a pre-defined scene based on its audio data. Over the years (and in past …