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Research Paper | Neural Networks | India | Volume 8 Issue 11, November 2019 | Popularity: 6.3 / 10
Audio Features & Neural Network
Sidhant Gupta, Jitesh Sareen, Madhur Jain
Abstract: The main idea is to talk about the common features used while analyzing audio files. The features discussed are mel frequency cepstral coefficient, zero crossing rate, spectral roll off, spectral centroid and chroma features. Along with the audio features mentioned before, we have also explained about activation function and convolutional neural networks.
Keywords: Convolutional Neural Network, Audio Features, Activation Functions, Melspectogram, SpectralnCentroid, Zero Crossing Rate
Edition: Volume 8 Issue 11, November 2019
Pages: 1389 - 1391
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Neural Networks, India, Volume 6 Issue 4, April 2017
Pages: 1754 - 1756Predicting Stock Prices Using LSTM
Murtaza Roondiwala, Harshal Patel, Shraddha Varma
Downloads: 140 | Views: 257 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Neural Networks, Iraq, Volume 8 Issue 8, August 2019
Pages: 994 - 999Deep Learning Employ for Low-Light Image Enhancement
Huda Dhari, Prof. Dr. Jameelah Harbi
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Neural Networks, India, Volume 7 Issue 4, April 2018
Pages: 92 - 94P300-Long Latency Auditory Evoked Potential (LLAEP) in Normal Hearing Individuals with and Without Contralateral Noise Stimulation
Thenmozhi K, Johnsirani R
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Neural Networks, Saudi Arabia, Volume 8 Issue 4, April 2019
Pages: 500 - 508Neural Network and Multiple Regression Models for PM2.5 Prediction in Rabigh, Saudi Arabia: A Comparative Assessment
Issam Mohammed Aquil Alghanmi, Ibrahim Abdelaziz, Al-Darrab, Osman Imam Taylan, Omar Seraj Aburizaiza
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Neural Networks, India, Volume 6 Issue 8, August 2017
Pages: 1196 - 1200Rainfall Forecasting using Neural Network Fitting Tool (NFTOOL)
Bhavika R. Panchasara, Falguni P. Parekh