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MusicLM

https://google-research.github.io/seanet/musiclm/examples/
What it does?

MusicLM: Hierarchical sequence-to-sequence model for high-quality music generation.

Specialty
Audio Editing
Socials
/
100
DTCetc Score
Brand Tags
Clean
Zero-waste
Asian Owned
Diverse Brand
Emerging Brand
Immigrant Founders
Influencer Approved
Creulty Free
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DTCetc’s Take

MusicLM on Twitter

TL;DR of This AI Tool
Target Audience
  1. Music producers and composers
  2. Music students and educators
  3. AI and machine learning researchers
  4. Musicians and artists looking for inspiration
  5. Music enthusiasts and hobbyists
Features
- Hierarchical sequence-to-sequence modeling task - Generates music at 24 kHz that remains consistent over several minutes - Outperforms previous systems in audio quality and adherence to text description - Can be conditioned on both text and a melody - MusicCaps dataset publicly released with 5.5k music-text pairs and rich text descriptions provided by human experts
Pricing
Free
Pricing Details

See website for more details

Sustainability Score
/
100
This brand offers products that are on the pricey side.
Quality Score
/
100
This brand offers products that are on the pricey side.
DTCetc Score
/
100
This brand offers products that are on the pricey side.
Target Audience
  1. Music producers and composers
  2. Music students and educators
  3. AI and machine learning researchers
  4. Musicians and artists looking for inspiration
  5. Music enthusiasts and hobbyists
Features
- Hierarchical sequence-to-sequence modeling task - Generates music at 24 kHz that remains consistent over several minutes - Outperforms previous systems in audio quality and adherence to text description - Can be conditioned on both text and a melody - MusicCaps dataset publicly released with 5.5k music-text pairs and rich text descriptions provided by human experts
Pricing

Free

Pricing Details

See website for more details

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