SSR-Speech / data /filemaker.py
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# @ [email protected]
import os
import argparse
from tqdm import tqdm
import pandas as pd
def parse_args():
parser = argparse.ArgumentParser(description="encode the librilight dataset using encodec model")
parser.add_argument("--dataset_name", type=str, default='English', help='name tag of dataset')
parser.add_argument('--dataset_dir', type=str, default=None)
parser.add_argument('--save_dir', type=str, default=None, help="path to the manifest, phonemes, and encodec codes dirs")
parser.add_argument("--audio_min_length", type=float, default=1, help="in second, drop the audio if length is shorter than this")
parser.add_argument("--encodec_sr", type=int, default=50, help="for my encodec that takes 16kHz audio with a downsample rate of 320, the codec sample rate is 50Hz, i.e. 50 codes (x n_codebooks) per second")
return parser.parse_args()
if __name__ == "__main__":
args = parse_args()
phn_save_root = os.path.join(args.save_dir, args.dataset_name, "phonemes")
codes_save_root = os.path.join(args.save_dir, args.dataset_name, "encodec_16khz_4codebooks")
manifest_root = os.path.join(args.save_dir, args.dataset_name, "manifest")
os.makedirs(manifest_root, exist_ok=True)
splits = ['train', 'validation', 'test']
for split in splits:
savelines = []
jsondata = pd.read_json(path_or_buf=os.path.join(args.dataset_dir, 'trans', split+'.json'), lines=True)
for key in tqdm(range(len(jsondata))):
if os.path.exists(os.path.join(phn_save_root, jsondata['segment_id'][key]+".txt")) and os.path.exists(os.path.join(codes_save_root, jsondata['segment_id'][key]+".txt")):
with open(os.path.join(codes_save_root, jsondata['segment_id'][key]+".txt"), 'r') as fi:
x = fi.readlines()
if len(x[0].split(' ')) > int(args.audio_min_length * args.encodec_sr):
savelines.append([jsondata['segment_id'][key], len(x[0].split(' '))])
outputlines = ''
for i in range(len(savelines)):
outputlines+='0\t'+ savelines[i][0]+'\t'+str(savelines[i][1])+'\n'
with open(os.path.join(manifest_root, split+'.txt'), "w") as f:
f.write(outputlines)