GitHub - muhammadnizami/DT-Neural-Parametric-Violin-Synthesizer: Implementation of Master's Thesis

This is the software project for the Master's Thesis by:

Muhammad Nizami

Magister Informatika-STEI-ITB

A (DT-)Neural Parametric Violin Synthesizer

The following package contains a python implementation of the synthesizer described in the following works:

Nizami, M., and Lestari, D. P. (2019). Sistem Permainan Musik Ekspresif untuk Alat Musik Gesek. Master's Thesis. Institut Teknologi Bandung
M. Nizami and D. P. Lestari, "A DT-Neural Parametric Violin Synthesizer," 2021 International Conference on Electrical Engineering and Informatics (ICEEI), 2021, pp. 1-6, doi: 10.1109/ICEEI52609.2021.9611115. https://ieeexplore.ieee.org/abstract/document/9611115

We're sorry that this part of the readme is not yet written down. We will get to work on this part in the near future.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
model		model
parameter-tuning-scripts		parameter-tuning-scripts
tools		tools
.gitignore		.gitignore
CGM.py		CGM.py
README.md		README.md
concatenative.py		concatenative.py
config.ini		config.ini
control_features.py		control_features.py
convert_hps_to_wav.py		convert_hps_to_wav.py
convert_to_hps_twm_guided.py		convert_to_hps_twm_guided.py
convert_to_midi.py		convert_to_midi.py
eval.py		eval.py
eval_timing_corresponding_notes_fig.py		eval_timing_corresponding_notes_fig.py
gaussian.py		gaussian.py
generate_batch.py		generate_batch.py
misc.py		misc.py
modified_wavenet.py		modified_wavenet.py
modified_wavenet_hps.py		modified_wavenet_hps.py
noise.py		noise.py
timing_dt.py		timing_dt.py
timing_features.py		timing_features.py
train.py		train.py