Topic: melspectrogram-classifications Goto Github
Some thing interesting about melspectrogram-classifications
Some thing interesting about melspectrogram-classifications
melspectrogram-classifications,@CoditEU Project to train a real time anomaly detection model. MelSpectrogram extraction from .wav -> Data augmentation (rolling, stretching, etc...) -> Generating multi class label (specific failure) with PCA+KMeans -> CNN training on multiclass labeled MelSpectrograms -> Configuring HTTP endpoint with Flask & deploying with Docker -> Uploading to ACR (Azure Container Registry) & testing with ACI (Azure Container Instance)
User: alaks96
melspectrogram-classifications,MelSpectrogram Classifications of Spoken Digits
User: codeiaks
melspectrogram-classifications,There are already many projects underway to extensively monitor birds by continuously recording natural soundscapes over long periods. However, as many living and nonliving things make noise, the analysis of these datasets is often done manually by domain experts. These analyses are painstakingly slow, and results are often incomplete.
User: coderjolly
melspectrogram-classifications,During the project for the DIGITAL SIGNAL IMAGE MANAGEMENT course I learned how to manage and process audio and image files. The aim of the project was the classification, through machine learning and deep learning models, of musical genres by extracting specific audio features from the "gtzan dataset" dataset files with which to train the models (SVM, Linear Regression, Decision tree , Random Forest, Neural Network). Mel spectograms were also extracted to train convolutional neural network models. In addition, the extracted audio features have been used to develop a model of music retrieval which given an audio track in input produces as output 5 audio tracks recommended meiante the use of cousine similarity.
User: dariodellamura
melspectrogram-classifications,Fall 2021 Introduction to Deep Learning - Homework 1 Part 2 (Frame Level Classification of Speech)
User: ryanquinnnelson
melspectrogram-classifications,Machine Learning and Deep learning techniques to Classify Music Genre
User: sk-singla
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