Text-to-Music Generation
13 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Text-to-Music Generation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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MusicCaps
MusicBench
Most implemented papers
Mustango: Toward Controllable Text-to-Music Generation
Through extensive experiments, we show that the quality of the music generated by Mustango is state-of-the-art, and the controllability through music-specific text prompts greatly outperforms other models such as MusicGen and AudioLDM2.
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
mulab-mir/song-describer-dataset
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We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models.
PAM: Prompting Audio-Language Models for Audio Quality Assessment
soham97/pam
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Here, we exploit this capability and introduce PAM, a no-reference metric for assessing audio quality for different audio processing tasks.
