Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
Voice2series: Reprogramming acoustic models for time series classification
Learning to classify time series with limited data is a practical yet challenging problem.
Current methods are primarily based on hand-designed feature extraction rules or domain …
Current methods are primarily based on hand-designed feature extraction rules or domain …
QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design
This technical report describes the details of our TASK1A submission of the DCASE2021
challenge. The goal of the task is to design an audio scene classification system for device …
challenge. The goal of the task is to design an audio scene classification system for device …
Acoustic scene classification in dcase 2020 challenge: generalization across devices and low complexity solutions
This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020
Challenge. The task consists of two subtasks: classification of data from multiple devices …
Challenge. The task consists of two subtasks: classification of data from multiple devices …
Cross-modal spectrum transformation network for acoustic scene classification
Y Liu, A Neophytou, S Sengupta… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) with log-mel spectrum features have shown
promising results for acoustic scene classification tasks. However, the performance of these …
promising results for acoustic scene classification tasks. However, the performance of these …
Slow-fast auditory streams for audio recognition
We propose a two-stream convolutional network for audio recognition, that operates on time-
frequency spectrogram inputs. Following similar success in visual recognition, we learn …
frequency spectrogram inputs. Following similar success in visual recognition, we learn …
A two-stage approach to device-robust acoustic scene classification
To improve device robustness, a highly desirable key feature of a competitive data-driven
acoustic scene classification (ASC) system, a novel two-stage system based on fully …
acoustic scene classification (ASC) system, a novel two-stage system based on fully …
CNN-based acoustic scene classification system
Y Lee, S Lim, IY Kwak - Electronics, 2021 - mdpi.com
Acoustic scene classification (ASC) categorizes an audio file based on the environment in
which it has been recorded. This has long been studied in the detection and classification of …
which it has been recorded. This has long been studied in the detection and classification of …
How to estimate model transferability of pre-trained speech models?
In this work, we introduce a" score-based assessment" framework for estimating the
transferability of pre-trained speech models (PSMs) for fine-tuning target tasks. We leverage …
transferability of pre-trained speech models (PSMs) for fine-tuning target tasks. We leverage …
Domain generalization on efficient acoustic scene classification using residual normalization
It is a practical research topic how to deal with multi-device audio inputs by a single acoustic
scene classification system with efficient design. In this work, we propose Residual …
scene classification system with efficient design. In this work, we propose Residual …