⭐ 本科毕业设计:基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码,使用Django构建了前后端。
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May 9, 2024 - JavaScript
⭐ 本科毕业设计:基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码,使用Django构建了前后端。
This repository presents the results of a technological initiation that encouraged my undergraduate thesis, I sought to improve my knowledge in digital signal processing applied to music. It is a spectral analysis tool for the audio of musical instruments, focusing on objectively characterizing timbre.
Audio processing by using pytorch 1D convolution network
Sentiment Analysis from Speech!
kapre: Keras Audio Preprocessors
This project was developed during the course Laboratory of Computational Physics
An example repository to analyze cough audio data using transfer learning
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.
Classify audio recordings to a set of emotions.
Audio Based COVID Detector
The project aims to represent real time Mel Spectogram of Audio Data fed through Mems microphone on Addressable LEDs (WS2812b).
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 model…
CNN-LSTM model for audio emotion detection in children with adverse childhood events.
A C++ implementation of stft, melspectrogram and mel_to_stft
Music recommendation using neural network
Signal Processing with Python and Librosa
Fashion Mnist and "recognize a speaker" datasets were utilized for image classification. For this classification task were tried to apply transfer learning from Mnist Fashion to "Recognize a Speaker" and transfer learning inside of Mnist Fashion.
Classifying Music Genre with Urban Sound Dataset, Preprocessing with Librosa and Torch audio, Model made in Tensorflow and PyTorch
Fall 2021 Introduction to Deep Learning - Homework 3 Part 2 (RNN-based phoneme recognition)
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