Name: Automatic Music Transcription
Type: Organization
Bio: Automatic Music Transcription, mathematical analysis of an audio recording which is an MP3 or WAV and the conversion into musical notes MIDI format using AI.
Location: Germany
Automatic Music Transcription's Projects
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Deep Neural Networks for Piano Music Transcription - Project for the course DT2119 - Speech and Speaker recognition KTH
Implementation related to the Deep Complex Networks
Magenta: Music and Art Generation with Machine Intelligence
Resources on Music Generation with Deep Learning
train and generate melody for pop music with recurrent neural networks
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
A tool for converting pop song into 8bit chiptune song.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Experiments for Invariances and Data Augmentation for Supervised Music Transcription
Automatic Music Transcription with Deep Neural Networks
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.