A design of MIDI language for music generation task, specifically for Natural Language Processing (NLP) models.

Overview

MIDI Language

Introduction

Reference

Paper: Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions: code

This is a modified version with an extension of multi-instrumental support.

Function

Convert Midi into event sequence, and represented by mapped integer array.

This could send to NLP models for AI auto music composition.

Due to this project considers more about music structures as well as its chord and melody on higher level, including note, drum, tempo, musical instrument (program in midi) and its expressions (tempo and velocity), rather than digging into too much details like sound source & direction, instrumental performing techniques (such as, bend sound, piano sustain pedal, violin overtones), the language of MIDI is design this way (see chapter Details below).

Usage

See language.py, it contains procedures:

  • load w2i (word to integer) and i2w (integer to word), for not calculating it every time;
  • encode midi to iteger array, each object handle one mid file;
  • decode integer array to midi, each object handle many results and export to mid files;

The code language.py has arguments:

  • input: input file of audio file to encode/decode;
  • output: output file of audio file to encode;
  • train: if have, it will switch to training mode with variations (data augmentation);

MidiEncoder data augmentation:

  • pitch_variation_range: a random pitch shift within a range for whole midi;
  • velocity_scale_variation_range: a random note/drum velocity scale for whole midi;
  • velocity_noise_scale_variation_range: a random note/drum velocity scale for each element within midi;
  • tempo_scale_variation_range: a random tempo change for whole midi;

MidiDecoder needs numerator and denominator time signatures for reconstructing midi files.

Details

Event Structure

Required:

  • Bar
  • Position (0~split-1)

Optional:

  • note:
    • Note
    • Program (0~127)
    • Pitch (0~127)
    • Velocity (0~127)
    • Duration (0~split*bar_scale-1)
  • drum:
    • Drum
    • Program (0~127)
    • Pitch (0~127)
    • Velocity (0~127)
    • Duration (0~split*bar_scale-1)
  • chord:
    • Chord (chroma_name:chord_name)
  • tempo:
    • Tempo_Class (T0~Ti)
    • Tempo_Value (0~59)
Owner
Robert Bogan Kang
hello rbk!
Robert Bogan Kang
Skipgram Negative Sampling in PyTorch

PyTorch SGNS Word2Vec's SkipGramNegativeSampling in Python. Yet another but quite general negative sampling loss implemented in PyTorch. It can be use

Jamie J. Seol 287 Dec 14, 2022
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

huybery 60 Dec 31, 2022
초성 해석기 based on ko-BART

초성 해석기 개요 한국어 초성만으로 이루어진 문장을 입력하면, 완성된 문장을 예측하는 초성 해석기입니다. 초성: ㄴㄴ ㄴㄹ ㅈㅇㅎ 예측 문장: 나는 너를 좋아해 모델 모델은 SKT-AI에서 공개한 Ko-BART를 이용합니다. 데이터 문장 단위로 이루어진 아무 코퍼스나

Dawoon Jung 29 Oct 28, 2022
Training open neural machine translation models

Train Opus-MT models This package includes scripts for training NMT models using MarianNMT and OPUS data for OPUS-MT. More details are given in the Ma

Language Technology at the University of Helsinki 167 Jan 03, 2023
Spooky Skelly For Python

_____ _ _____ _ _ _ | __| ___ ___ ___ | |_ _ _ | __|| |_ ___ | || | _ _ |__ || . || . || . || '

Kur0R1uka 1 Dec 23, 2021
Treemap visualisation of Maya scene files

Ever wondered which nodes are responsible for that 600 mb+ Maya scene file? Features Fast, resizable UI Parsing at 50 mb/sec Dependency-free, single-f

Marcus Ottosson 76 Nov 12, 2022
A PyTorch Implementation of End-to-End Models for Speech-to-Text

speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne

Awni Hannun 647 Dec 25, 2022
Library for fast text representation and classification.

fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme

Facebook Research 24.1k Jan 05, 2023
Tools, wrappers, etc... for data science with a concentration on text processing

Rosetta Tools for data science with a focus on text processing. Focuses on "medium data", i.e. data too big to fit into memory but too small to necess

207 Nov 22, 2022
NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing(自然语言处理) Text Classificati

1.5k Nov 14, 2022
NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings

MCSE: Multimodal Contrastive Learning of Sentence Embeddings This repository contains code and pre-trained models for our NAACL-2022 paper MCSE: Multi

Saarland University Spoken Language Systems Group 39 Nov 15, 2022
Edge-Augmented Graph Transformer

Edge-augmented Graph Transformer Introduction This is the official implementation of the Edge-augmented Graph Transformer (EGT) as described in https:

Md Shamim Hussain 21 Dec 14, 2022
A minimal Conformer ASR implementation adapted from ESPnet.

Conformer ASR A minimal Conformer ASR implementation adapted from ESPnet. Introduction I want to use the pre-trained English ASR model provided by ESP

Niu Zhe 3 Jan 24, 2022
CYGNUS, the Cynical AI, combines snarky responses with uncanny aggression.

New & (hopefully) Improved CYGNUS with several API updates, user updates, and online/offline operations added!!!

Simran Farrukh 0 Mar 28, 2022
A website which allows you to play with the GPT-2 transformer

transformers A website which allows you to play with the GPT-2 model Built with ❤️ by raphtlw Table of contents Model Setup About Contributors Model T

raphtlw 2 Jan 27, 2022
Modeling cumulative cases of Covid-19 in the US during the Covid 19 Delta wave using Bayesian methods.

Introduction The goal of this analysis is to find a model that fits the observed cumulative cases of COVID-19 in the US, starting in Mid-July 2021 and

Alexander Keeney 1 Jan 05, 2022
Fidibo.com comments Sentiment Analyser

Fidibo.com comments Sentiment Analyser Introduction This project first asynchronously grab Fidibo.com books comment data using grabber.py and then sav

Iman Kermani 3 Apr 15, 2022
Natural language Understanding Toolkit

Natural language Understanding Toolkit TOC Requirements Installation Documentation CLSCL NER References Requirements To install nut you need: Python 2

Peter Prettenhofer 119 Oct 08, 2022
CredData is a set of files including credentials in open source projects

CredData is a set of files including credentials in open source projects. CredData includes suspicious lines with manual review results and more information such as credential types for each suspicio

Samsung 19 Sep 07, 2022
Official PyTorch Implementation of paper "NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting", EGSR 2021.

NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting Official PyTorch Implementation of paper "NeLF: Neural Light-tran

Ken Lin 38 Dec 26, 2022