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| #!/usr/bin/env python | |
| """ | |
| fill_tony_file.py | |
| Fill in missing time frames in a Tony file, write the output to file. | |
| Created by Rachel Bittner <rmb456@nyu.edu> | |
| and Justin Salamon <justin.salamon@nyu.edu> | |
| This code is released as part of the MedleyDB library for working | |
| with the MedleyDB dataset: http://marl.smusic.nyu.edu/medleydb. | |
| This code is a component of the work presented in the following publication: | |
| R. Bittner, J. Salamon, M. Tierney, M. Mauch, C. Cannam and J. P. Bello, | |
| "MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research", in | |
| 15th International Society for Music Information Retrieval Conference, | |
| Taipei, Taiwan, Oct. 2014. | |
| """ | |
| import os | |
| import numpy as np | |
| import csv | |
| import argparse | |
| HOP = 256.0 # Tony default hop size | |
| FS = 44100.0 # Tony default output sample rate | |
| def read_tony_file(fpath): | |
| """Read a tony-generated csv file. | |
| Parameters | |
| ---------- | |
| fpath : str | |
| Path to tony-generated csv file. | |
| Returns | |
| ------- | |
| tony_f0 : array | |
| Array of tony-generated f0 values and corresponding time stamps. | |
| """ | |
| assert os.path.exists(fpath), "File path does not exist." | |
| with open(fpath) as f_handle: | |
| tony_f0 = [] | |
| linereader = csv.reader(f_handle) | |
| for line in linereader: | |
| tony_f0.append([float(val) for val in line[:2]]) | |
| return tony_f0 | |
| def get_time_stamps(total_duration): | |
| """Get a list of evenly spaced time stamps based on Tony's parameters. | |
| Parameters | |
| ---------- | |
| total_duration : float | |
| Length (in seconds) of annotation's corresponding audio file. | |
| Returns | |
| ------- | |
| time_stamps : array | |
| Array of evenly spaced time stamps spanning the entire annotation. | |
| """ | |
| n_stamps = int(np.ceil((total_duration*FS)/HOP)) | |
| return np.arange(n_stamps)*(HOP/FS) | |
| def make_blank_f0_sequence(total_duration): | |
| """Make a complete f0 sequence filled with 0's. | |
| First column is time, second column is frequency. | |
| Parameters | |
| ---------- | |
| total_duration : float | |
| Length (in seconds) of annotation's corresponding audio file. | |
| Returns | |
| ------- | |
| f0_sequence : array | |
| Array of filled in f0 values and corresponding time stamps. | |
| """ | |
| time_stamps = get_time_stamps(total_duration) | |
| f0_sequence = np.zeros((len(time_stamps), 2)) | |
| f0_sequence[:, 0] = time_stamps | |
| return f0_sequence | |
| def sec_to_idx(time_in_seconds, sample_rate=FS, hop=HOP): | |
| """Compute the array index of a given time stamp. | |
| Parameters | |
| ---------- | |
| time_in_seconds : float | |
| Time stamp, in seconds. | |
| sample_rate : float | |
| Annotation sample rate. | |
| hop : float | |
| Annotation hop size. | |
| Returns | |
| ------- | |
| array_idx : int | |
| Index of time stamp in filled f0 array. | |
| """ | |
| return int(np.round(time_in_seconds*sample_rate/hop)) | |
| def write_f0_to_csv(f0_sequence, output_file_path): | |
| """Write f0 sequence to a csv file. | |
| Parameters | |
| ---------- | |
| f0_sequence : array | |
| Filled f0 sequence with corresponding time stamps. | |
| output_file_path : str | |
| Path to save csv file. | |
| """ | |
| assert len(f0_sequence) != 0, "f0 sequence is empty." | |
| with open(output_file_path, "wb") as fpath: | |
| writer = csv.writer(fpath) | |
| writer.writerows(f0_sequence) | |
| def main(args): | |
| """Fill in missing time frames in a Tony file, write the output to file. | |
| Parameters | |
| ---------- | |
| tony_csv_file : str | |
| Path to tony-generated csv file. | |
| output_file_path : str | |
| Path to save location of filled-in file. | |
| duration : float | |
| Length (in seconds) of the annotation's corresponding audio file. | |
| """ | |
| tony_f0 = read_tony_file(args.tonyfile) | |
| assert tony_f0, "Tony file does not exist." | |
| start_idx = sec_to_idx(0) | |
| end_idx = sec_to_idx(args.duration) | |
| f0_sequence = make_blank_f0_sequence(args.duration) | |
| for time_freq in tony_f0: | |
| time = time_freq[0] | |
| freq = time_freq[1] | |
| time_idx = sec_to_idx(time) | |
| if time_idx >= start_idx and time_idx < end_idx: | |
| f0_sequence[time_idx][1] = freq | |
| write_f0_to_csv(f0_sequence, args.outputfile) | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser( | |
| description="Fill in missing time frames in a Tony file," | |
| "write the output to file.") | |
| parser.add_argument("tonyfile", | |
| type=str, | |
| help="Path to tony ouput csv file.") | |
| parser.add_argument("outputfile", | |
| type=str, | |
| help="Path to save location of filled in file.") | |
| parser.add_argument("duration", | |
| type=float, | |
| help="Length (in seconds) of annotation audio file.") | |
| main(parser.parse_args()) | |