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README.md | H A D | 25-Apr-2025 | 764 | 19 | 13 | |
data_augmentation.py | H A D | 25-Apr-2025 | 8 KiB | 150 | 104 | |
download_demand.sh | H A D | 25-Apr-2025 | 1.2 KiB | 44 | 25 | |
evaluation.py | H A D | 25-Apr-2025 | 16.4 KiB | 350 | 275 | |
experiments.py | H A D | 25-Apr-2025 | 2 KiB | 39 | 30 | |
export_neuralpitch_weights.py | H A D | 25-Apr-2025 | 3.4 KiB | 110 | 79 | |
models.py | H A D | 25-Apr-2025 | 6.9 KiB | 179 | 139 | |
neural_pitch_update.py | H A D | 25-Apr-2025 | 7.1 KiB | 180 | 125 | |
ptdb_process.sh | H A D | 25-Apr-2025 | 938 | 34 | 22 | |
run_crepe.py | H A D | 25-Apr-2025 | 2.6 KiB | 73 | 51 | |
training.py | H A D | 25-Apr-2025 | 7.1 KiB | 163 | 126 | |
utils.py | H A D | 25-Apr-2025 | 2.3 KiB | 60 | 38 |
README.md
1## Neural Pitch Estimation 2 3- Dataset Installation 4 1. Download and unzip PTDB Dataset: 5 wget https://www2.spsc.tugraz.at/databases/PTDB-TUG/SPEECH_DATA_ZIPPED.zip 6 unzip SPEECH_DATA_ZIPPED.zip 7 8 2. Inside "SPEECH DATA" above, run ptdb_process.sh to combine male/female 9 10 3. To Download and combine demand, simply run download_demand.sh 11 12- LPCNet preparation 13 1. To extract xcorr, add lpcnet_extractor.c and add relevant functions to lpcnet_enc.c, add source for headers/c files and Makefile.am, and compile to generate ./lpcnet_xcorr_extractor object 14 15- Dataset Augmentation and training (check out arguments to each of the following) 16 1. Run data_augmentation.py 17 2. Run training.py using augmented data 18 3. Run experiments.py 19