audio classification papers

What is audio classification?
Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. The goal of audio classification is to enable machines to automatically recognize and distinguish between different types of audio, such as music, speech, and environmental sounds. See all 6 libraries.
Why is audio classification important in machine learning?
Abstract: Audio classification is an important task in the machine learning field with a wide range of applications. Since the last decade, deep learning based methods have been widely used and the transformer-based models are becoming new paradigm for audio classification.
What is deep learning in audio classification?
Deep Learning (DL) is a branch of NN that the structure must include multiple layers. This paper focuses on deep learning structures and applications for audio classification. The contribution of this paper is to provide a thorough review of literature in ML types and structures for audio-based detection and classification systems.
What are hybrid models for audio classification?
In particular, temporal and frequency features can be extracted to identify the characteristics of the audio signals. Finally, hybrid models for audio classification either combine various deep learning architectures (i.e. CNN-RNN) or combine deep learning models with traditional machine learning techniques (i.e. CNN-Support Vector Machine).

PDF	MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION This paper shows that the non-stationary be- havior lost by MFSC coefficients is captured by a scatter ficient representations for audio classification.

PDF	Audio Classification: Environmental sounds classification In this paper a high-accuracy algorithm of audio classification is presented. We plan to discriminate different environment sound in a one-to-four-second

PDF	Unsupervised feature learning for audio classification using In this paper we apply convolutional deep belief net- works to audio data and empirically evaluate them on various audio classification tasks. In the case of

PDF	An Ensemble of Convolutional Neural Networks for Audio 22 juin 2021 In this paper ensembles of ... Keywords: audio classification; data augmentation; ensemble of classifiers; pattern recognition.

PDF	MULTISCALE SCATTERING FOR AUDIO CLASSIFICATION This paper shows that the non-stationary be- havior lost by MFSC coefficients is captured by a scatter ficient representations for audio classification.

PDF	ESC: Dataset for Environmental Sound Classification The paper also provides an evaluation of human accuracy in classifying environmen- tal sounds and compares it to the performance of selected baseline

PDF	A Similarity Measure for Automatic Audio Classification

PDF	SSAST: Self-Supervised Audio Spectrogram Transformer - Yuan This paper focuses on audio and speech classification and aims to reduce the need for large amounts of labeled data for the AST by leveraging self-supervised

PDF	Data augmentation approaches for improving animal audio In this paper we present ensembles of classifiers for automated animal audio classification exploiting different data augmentation techniques for training

PDF	Convolutional Recurrent Neural Networks for Urban Sound classification and extended to use bird audio detection [26] and music emotion recognition [27]. In this paper we introduce CRNNs for environmental.

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PDF	Unsupervised feature learning for audio classification using In this paper, we apply convolutional deep belief net- works to audio data and empirically evaluate them on various audio classification tasks In the case of speech

PDF	Research Article Optimized Audio Classification and - CORE An optimized audio classification and segmentation algorithm is presented in this paper that segments a superimposed audio stream on the basis of its content

PDF	Deep Learning For Natural Sound Classification The aim of this paper is to present a natural sound detection and classification system In particular, a system that detects and classifies bird and insects sounds

PDF	Sound Classification Using Convolutional Neural - IEEE Xplore 23 jan 2019 · Our aim, in this paper, is to use the deep learning networks for classifying the environmental sounds based on the generated spectrograms of

PDF	Applying Neural Network on Content-Based Audio Classification method to classify audio signal into speech, music and others for the purpose of In this paper, a novel automatic audio classification approach is presented to

PDF	Robust Audio Sensing with Multi-Sound Classification In this paper, we explore different approaches in multi-sound classification, and propose a stacked classifier based on the recent advance in deep learning