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Applying Neural Network on the Content-Based Audio ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.1103
These applications include multimedia databases and file systems, digital libraries, automatic segmentation or indexing of video (e.g., news or sports storage), and surveillance. This paper describes a novel content-based audio classification approach based on neural network and genetic algorithm.
Applying neural network on the content-based audio ...
https://www.researchgate.net/publication/4072552_Applying_neural_network_on_the_content-based_audio_classification
Another paper describing content-based audio classification method based on neural network and genetic algorithm was published by Xi Shao et al. …
Content based audio classification: a neural network ...
https://link.springer.com/article/10.1007%2Fs00500-007-0241-4
Content based music genre classification is a key component for next generation multimedia search agents. This paper introduces an audio classification technique based on audio content analysis. Artificial Neural Networks (ANNs), specifically multi-layered perceptrons (MLPs) are implemented to perform the classification task.
(PDF) A Neural Network based Audio Content Classification
https://www.researchgate.net/publication/4310665_A_Neural_Network_based_Audio_Content_Classification
This paper proposes a set of audio content features and a parallel Neural Network architecture that addresses the task of automated content based audio classification.
Audio Classification : A Convolutional Neural Network ...
https://medium.com/@CVxTz/audio-classification-a-convolutional-neural-network-approach-b0a4fce8f6c
Audio Classification : A Convolutional Neural Network Approach Youness Mansar Apr 23, 2018 · 2 min read Audio Classification can be used for audio scene understanding which in turn is important so...
Building an Audio Classifier using Deep Neural Networks ...
https://www.kdnuggets.com/2017/12/audio-classifier-deep-neural-networks.html
The Audio-classification problem is now transformed into an image classification problem. We need to detect presence of a particular entity ( ‘Dog’,’Cat’,’Car’ etc) in this image. Step 2. Choosing an Architecture. We use a convolutional Neural Network, to classify the spectrogram images.This is because CNNs work better in detecting ...
Convolutional Neural Network based Audio Event Classification
https://www.koreascience.kr/article/JAKO201821464986105.pdf
2750 Lim et al.: Convolutional Neural Network based Audio Event Classification performance was observed in the four musician classification experiments. This study shows the advantage of using a large amount of training data without answer scripts. There is a
Classification Using Neural Networks | by Oliver …
https://towardsdatascience.com/classification-using-neural-networks-b8e98f3a904f
A convolution neural network is a twist of a normal neural network, which attempts to deal with the issue of high dimensionality by reducing the number of pixels in image classification through two separate phases: the convolution phase, and the pooling phase. After that it performs much like an ordinary neural network. Key Word. Neural Networks.
CONTENT BASED AUDIO CLASSIFICATION USING …
https://www.academia.edu/50801128/CONTENT_BASED_AUDIO_CLASSIFICATION_USING_ARTIFICIAL_NEURAL_NETWORK_TECHNIQUES
The audio classifier is designed using multi layerFeedforward neural network with back propagation learning algorithm and tested the classifier for characterization of audio into sports, news and music. Music genre is further classified into three moods happy, angry and sad. 2.
Content-Based Audio Classification and Retrieval Using ...
https://link.springer.com/chapter/10.1007/978-981-13-6861-5_23
This paper proposes a machine learning- and neural network-based approach which performs audio pre-processing, segmentation, feature extraction, classification and retrieval of audio signal from the dataset. We have proposed novel approach of classification and retrieval using FPNN by combining fuzzy logic and PNN characteristics.
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