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日本語(JA) ADC Japan Speaker: Tomek Roszczynialski Generative Instruments with Large Piano Models 大規模ピアノモデルを用いた生成楽器 A hands-on approach to making music with AI trained on

AI models explore music generation using piano and MIDI data

Researchers are exploring AI models for music generation, with one project focusing on creating generative instruments using large piano models trained on performance data. Another initiative details building an AI model from scratch using PyTorch and the Lakh MIDI Dataset, applying NLP techniques to MIDI data to generate melodies. AI

IMPACT These projects showcase novel approaches to AI-driven music creation, potentially leading to new tools for artists and musicians.

RANK_REASON The cluster contains two distinct research projects focused on AI for music generation, one using piano performance data and another utilizing MIDI data with NLP techniques.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI models explore music generation using piano and MIDI data

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 日本語(JA) · [email protected] ·

    ADC Japan Speaker: Tomek Roszczynialski Generative Instruments with Large Piano Models A hands-on approach to making music with AI trained on

    ADC Japan Speaker: Tomek Roszczynialski Generative Instruments with Large Piano Models 大規模ピアノモデルを用いた生成楽器 A hands-on approach to making music with AI trained on piano performance data. June 1-3, Tokyo https:// audio.dev/adc-japan-26/ # audio # developer # music # piano # AI

  2. 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)…