Audio processing by using pytorch 1D convolution network

• UpdatedFeb 13, 2024
• Python

kapre: Keras Audio Preprocessors

• UpdatedOct 23, 2023
• Python

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

• UpdatedJun 16, 2021
• Python

⭐ 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。

• UpdatedMay 9, 2024
• JavaScript

Polish bird species recognition - Bird song analysis and classification with MFCC and CNNs. Trained on EfficientNets with final score 0.88 AUC. Women in Machine Learning & Data Science project.

• UpdatedDec 11, 2019
• Jupyter Notebook

C/C++实现Python音频处理库librosa中melspectrogram的计算过程

• UpdatedJan 14, 2022
• C++

A packaged convolutional voice activity detector for noisy environments.

• UpdatedJun 15, 2019
• Python

Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.

• UpdatedJun 28, 2020
• Python

Learnable STRF, from Riad et al. 2021 JASA

• UpdatedAug 21, 2021
• Python

A C++ implementation of stft, melspectrogram and mel_to_stft

• UpdatedJun 2, 2022
• C++

musical genres binary classification using pytorch.audio and keras

• UpdatedNov 3, 2020
• Jupyter Notebook

Signal Processing with Python and Librosa

• UpdatedMar 14, 2022
• Jupyter Notebook

A simple Speaker classifier using Keras

• UpdatedNov 1, 2021
• Jupyter Notebook

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.

• UpdatedMar 11, 2022
• Jupyter Notebook

An example repository to analyze cough audio data using transfer learning

• UpdatedJun 14, 2023
• Python

audio classification fastai - Convert audio files into images for classification

• UpdatedMay 30, 2020
• Jupyter Notebook

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…

• UpdatedJul 24, 2022
• Jupyter Notebook

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.

• UpdatedApr 16, 2024
• MATLAB

CNN-LSTM model for audio emotion detection in children with adverse childhood events.

• UpdatedJul 20, 2022
• Jupyter Notebook

The study presents a method to detect emotional states in real-time using audio data. It preprocesses the audio and trains a CNN to recognize emotions, achieving high accuracy. The system has potential applications in interactive systems and mental health monitoring, contributing to the development of emotionally intelligent technology.

• UpdatedMar 10, 2025
• Python