librosa
There are 8 repositories under librosa topic.
- librosaLanguage:Python 7985
x4nth055 / emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Language:Python 654- AudioMuse-AI
NeptuneHub / AudioMuse-AI
AudioMuse-AI is an Open Source Dockerized environment that brings automatic playlist generation to Jellyfin, Navidrome, LMS and Lyrion. Using powerful tools like Librosa and ONNX, it performs sonic analysis on your audio files locally, allowing you to curate the perfect playlist for any mood or occasion without relying on external APIs.
Language:Python 560 Demfier / multimodal-speech-emotion-recognition
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Language:Jupyter Notebook 430marcogdepinto / emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
Language:Python 422danyalimran93 / Music-Emotion-Recognition
A Machine Learning Approach of Emotional Model
Language:Python 244scherroman / mugen
A command-line music video generator based on rhythm
Language:Python 239KAIST-MACLab / PyTSMod
An open-source Python library for audio time-scale modification.
Language:Python 225ewan-xu / LibrosaCpp
LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc
Language:C++ 222- Language:Python 127
- SpeechEmotionRecognition_Realtime
MeidanGR / SpeechEmotionRecognition_Realtime
Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).
Language:Jupyter Notebook 113 tiagoft / audio_to_midi
(monophonic) audio to midi converter using Python and librosa
Language:Python 110Super-Badmen-Viper / NineSong
NineSong aims to provide Cloud native and AI extended solutions for data sharing in various ToC businesses
Language:Go 108qlemaire22 / speech-music-detection
Python framework for Speech and Music Detection using Keras.
Language:Python 107ankurbhatia24 / MULTIMODAL-EMOTION-RECOGNITION
Human Emotion Understanding using multimodal dataset.
Language:Jupyter Notebook 104GianlucaPaolocci / Sound-classification-on-Raspberry-Pi-with-Tensorflow
In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone
Language:Python 99yeyupiaoling / AudioClassification-PaddlePaddle
基于PaddlePaddle实现的音频分类，支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型，还有多种预处理方法
Language:Python 98Guan-JW / Melody-Note
一个简单的小网页，录入人声哼唱，转化成钢琴音及钢琴谱输出。灵感稍纵即逝，本项目的目标是能够记录下一段小调，以音频形式输入，读取识别其曲调，并制成谱子，最终以钢琴弹奏的形式输出，依此将一些日常生活中的小灵感保存起来，以便日后回忆甚至再创作。
Language:Python 84dodiku / music-synthesis-with-python
Music Synthesis with Python talk, originally given at PyGotham 2017.
Language:Jupyter Notebook 77kristijanbartol / Deep-Music-Tagger
Music genre classification model using CRNN
Language:Python 70- environmental-sound-classification
mariostrbac / environmental-sound-classification
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
Language:Jupyter Notebook 70 - Speech2Face
ravising-h / Speech2Face
Image Processing, Speech Processing, Encoder Decoder, Research Paper implementation
Language:Jupyter Notebook 65 rohankrgupta / Orca-call-Classifier-Machine-learning
Advanced ML Project : An Orca Call classifier using mel-spectrograms as audio representations to detect Killer whales
Language:Jupyter Notebook 57cetinsamet / music-genre-classification
Music genre classification from audio spectrograms using deep learning
Language:Python 54AmritK10 / Urban-Sound-Classification
Sound Classification using Neural Networks
Language:Jupyter Notebook 50- audiomuse-ai-plugin
Jellyfin plugin for AudioMuse-AI
Language:C# 50 abishek-as / Audio-Classification-Deep-Learning
We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.
Language:Jupyter Notebook 48Ztrimus / speech-emotion-recognition
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Language:Jupyter Notebook 47bits-bytes-nn / sound-anomaly-detection-with-autoencoders
MIMII Sound Anomaly Detection with AutoEncoders
Language:Jupyter Notebook 37hernanrazo / human-voice-detection
Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
Language:Python 36Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
Language:HTML 34- Language:C++ 31
adzialocha / tomomibot
Artificial intelligence bot for live voice improvisation
Language:Python 30rudrajikadra / Speech-Emotion-Recognition-using-Librosa-library-and-MLPClassifier
In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
Language:Jupyter Notebook 28- Language:Python 27
albincorreya / ChromaCoverId
Methods to compute various chroma audio features and audio similarity measures particularly for the task of cover song identification
Language:Jupyter Notebook 26
