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deepcomposer
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deepcomposer [2015/10/25 11:48] stefanbalke |
deepcomposer [2015/10/25 17:28] (current) eraoul [Summary] |
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| * Collect several symbolic song datasets, with melody and possibly chords | * Collect several symbolic song datasets, with melody and possibly chords | ||
| * Represent data in a common vector format appropriate for input to a neural net | * Represent data in a common vector format appropriate for input to a neural net | ||
| - | * Develop an LSTM architecture for generation of melody/chord output. | + | * Develop a Long Short-Term Memory (LSTM) architecture for generation of melody/chord output. |
| * **Goal:** Given a melody and chord sequence, generate melody with chords. | * **Goal:** Given a melody and chord sequence, generate melody with chords. | ||
| * Make music! | * Make music! | ||
| Line 119: | Line 119: | ||
| * 12 Pitch Classes (Chroma) with chord information. | * 12 Pitch Classes (Chroma) with chord information. | ||
| * 5 levels of the metrical hierarchy. | * 5 levels of the metrical hierarchy. | ||
| + | |||
| ===== Libraries Used ===== | ===== Libraries Used ===== | ||
| Line 126: | Line 127: | ||
| * SQL Alchemy | * SQL Alchemy | ||
| * NumPy | * NumPy | ||
| + | |||
| + | ===== Results ===== | ||
| + | |||
| + | ==== Train on ESAC, Random Seed ==== | ||
| + | |||
| + | {{:example_rnd_01.png?800|}} | ||
| + | {{:example_rnd_01.mp3|}} | ||
| + | |||
| + | ==== Train on ESAC, ESAC Seed, Probabilistic Sampling ==== | ||
| + | |||
| + | {{:example_rnd_02.png?800|}} | ||
| + | {{:example_rnd_02.mp3|}} | ||
| + | ===== Next Steps ===== | ||
| + | |||
| + | * Try out longer training and more epoches. | ||
| + | * Integrate harmony components. | ||
| + | * Cross-learn: Learn on ESAC and harmony from jazz etc. | ||
deepcomposer.1445788088.txt.gz ยท Last modified: 2015/10/25 11:48 by stefanbalke
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