beatsAI®
beatsAI® DEVELOPMENT TOOLS
Machine Learning Frameworks (train and deploy machine learning models that can recognize musical patterns, generate music, or analyze audio data)
TensorFlow
Keras
PyTorch
Apache MXNet
Audio Processing Libraries (extract features from audio files, such as tempo, pitch, and melo)
Librosa
Essentia
PyDub
Cloud Hosting Platforms (host the application and ensure it is available online 24/7)
Microsoft Azure
Google Cloud
Amazon Web Services
Front-end Development Tools (develop the user interface of beatsAI® technology)
React
Angular
Vue.js
Back-end Development Tools (handling server-side programming and database management)
Node.js
Python
Ruby
Natural Language Processing (NLP) Tools (build a conversational AI music assistant, to process and understand natural language queries)
NLTK
Spacy
Gensim
Music Theory and Composition Tools (enable beatsAI® technology to generate music)
Music21
MIDIUtil
Ableton Live
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