Conference
Folk music style modelling by recurrent neural networks with long short term memory units
| العنوان: | Folk music style modelling by recurrent neural networks with long short term memory units |
|---|---|
| المؤلفون: | Sturm, Bob, Santos, João Felipe, Korshunova, Iryna |
| المصدر: | 16th International Society for Music Information Retrieval Conference, late-breaking demo session |
| سنة النشر: | 2015 |
| المجموعة: | Ghent University Academic Bibliography |
| مصطلحات موضوعية: | Technology and Engineering |
| الوصف: | We demonstrate two generative models created by training a recurrent neural network (RNN) with three hidden layers of long short-term memory (LSTM) units. This extends past work in numerous directions, including training deeper models with nearly 24,000 high-level transcriptions of folk tunes. We discuss our on-going work. |
| نوع الوثيقة: | conference object |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://biblio.ugent.be/publication/7053070; http://hdl.handle.net/1854/LU-7053070; https://biblio.ugent.be/publication/7053070/file/7053255 |
| الاتاحة: | https://biblio.ugent.be/publication/7053070 http://hdl.handle.net/1854/LU-7053070 https://biblio.ugent.be/publication/7053070/file/7053255 |
| Rights: | No license (in copyright) ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.D5D8F7 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |