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tool · [1 source] · · Русский(RU) Создаем ИИ-модель для генерации музыки на базе Lakh MIDI Dataset Работать с сырым аудио в машинном обучении вычислительно тяжело и сложно. Но что, если свести м
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AI model generates music by converting MIDI to text with PyTorch LSTM

This article details the creation of an AI model for music generation using the Lakh MIDI Dataset. The approach involves converting music into a text-like format to apply Natural Language Processing techniques. The authors built a custom PyTorch LSTM model from scratch, avoiding complex frameworks, to learn musical patterns and generate new melodies by parsing MIDI notes with music21 and employing a sliding window dataset construction. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Demonstrates a novel approach to music generation by treating MIDI data as text, potentially enabling new creative tools and research directions.

RANK_REASON The cluster describes the creation of a custom AI model and methodology for music generation, fitting the definition of research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    Creating an AI Model for Music Generation Based on the Lakh MIDI Dataset Working with Raw Audio in Machine Learning is Computationally Heavy and Complex. But What If We Reduce

    Создаем ИИ-модель для генерации музыки на базе Lakh MIDI Dataset Работать с сырым аудио в машинном обучении вычислительно тяжело и сложно. Но что, если свести музыку к тексту и применить к ней классические NLP-подходы? В этой статье мы с нуля напишем рекуррентную нейросеть (LSTM)…