hadryan Goto Github PK

song_prediction

I used the machine-learning approaches we've studied to to train and validate a model for this problem. The training data consists of around 1,900 songs from the 2000's taken from the Million Songs Datasets created by Columbia University cross-referenced with the list of Billboard Top 100 Hits. Each song is characterized by audio features (such as danceability, wordiness, and tempo) extracted from the Spotify API.

song_recomendations_based_on-lyrics_and_audio_features

song_recommendation

Music recommedation system using ML k-means algorithm

songtiment-analysis

Advanced sentiment analysis of music.

sonic-analysis

A jupyter based analysis of the audio features of music from the Spotify Web API.

sophia

Modern transactional key-value/row storage library.

soriboda-music_recommendation_program

SoriBoda is a music-suggestion-program based on users' age.

sound

🔊 Study about audio features extraction (repo in french).

sound-classifier

init description of a future sound-classifier project

soundhabit

Social application for sharing music tastes that uses a machine learning classifier to decide the genre of the songs (developed for Data Mining and Machine Learning course)

soundmanager2

A JavaScript Sound API supporting MP3, MPEG4 and HTML5 audio + (experimental) RTMP, providing reliable cross-browser/platform audio control in as little as 10 KB. BSD licensed.

soundstreaming

SoundStreaming App(Version 1.0) fetches music/tracks from soundcloud.com API

source-separation-wavenet

A neural network for end-to-end music source separation

sovereign

A set of Ansible playbooks to build and maintain your own private cloud: email, calendar, contacts, file sync, IRC bouncer, VPN, and more.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spafe

spafe: Simplified Python Audio-Features Extraction

spark-install

Installation guide for Apache Spark + Hadoop on Mac/Linux

spark-music-recommender

spark_movie_superheros

Developing Spark applications using scala

sparkify-capstone

Data Analysis in Spark to Identify Customer Churn for a fictional music service(like Spotify)

sparklearning

A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.

sparrowrecsys

A Deep Learning Recommender System

sparser-cnn

End-to-End Object Detection with Learnable Proposal

spatial-algorithms

Spatial algorithms for both cartesian and geographic data

spatio-temporal-graph-convolutional-networks-a-deep-learning-framework-for-traffic-forecasting

presentation

spectrum

Simple, powerful online communities.

speech-emotion-detection

Here in this repository I have tried to build a system that is capable of distinguishing emotions from audio samples using MFCC features

speech-emotion-detection-1

Speech emotion recognition model uses the classification algorithm of supervised learning to classify the feature extracted from the files into eight different emotions like neutral , happy, sad , angry , fearful , disgust , surprise . This model uses , the RAVDESS dataset ; this is the Ryerson Audio-Visual Database of Emotional Speech and Song dataset.

speech-emotion-recognition

Sentiment Analysis through Audio speech and sound feature analysis

speech-emotion-recognition-iemocap

Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as input data to ML/DL models