Semantic Scholar
Open Access
2012
724 sitasi
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
Abstrak
We investigate the problem of modeling symbolic sequences of polyphonic music in a completely general piano-roll representation. We introduce a probabilistic model based on distribution estimators conditioned on a recurrent neural network that is able to discover temporal dependencies in high-dimensional sequences. Our approach outperforms many traditional models of polyphonic music on a variety of realistic datasets. We show how our musical language model can serve as a symbolic prior to improve the accuracy of polyphonic transcription.
Topik & Kata Kunci
Penulis (3)
N
Nicolas Boulanger-Lewandowski
Y
Yoshua Bengio
P
Pascal Vincent
Akses Cepat
PDF tidak tersedia langsung
Cek di sumber asli →Informasi Jurnal
- Tahun Terbit
- 2012
- Bahasa
- en
- Total Sitasi
- 724×
- Sumber Database
- Semantic Scholar
- Akses
- Open Access ✓