Create database and train model with transcribed output #jaimelealSpeechSynthesis

[IkeDoku]

I am currently following this Blog: https://jaimeleal.github.io/how-to-speech-synthesis#step-5-download-scripts-from-deeplearningexamples. Transcription process is done but I am now stuck at creating metadata.csv and filelists (step 4 in above link). My goal is to create a tacotron2 model and a waveglow model. Which I would like to use to generate custom speech. Is there any major concern I should have before continuing?

The blog uses Amazon Transcribe. Unfortunately, I wasn't able to reach the author that's why I trying it here. The code for extraction looks like this:
`import os
import json
import pandas as pd
from sklearn.model_selection import train_test_split
import numpy as np

path = '/dataset/transcripts/'
files = os.listdir(path)`

Extract the transcript text from the output of Amazon Transcribe

`rows = []
for index in range(1, len(files) + 1):
name = '{:04d}'.format(index)
with open(os.path.join(path, "{}.json".format(name))) as json_file:
data = json.load(json_file)
transcript = data["results"]["transcripts"][0]["transcript"]
rows.append([name, transcript])

data = pd.DataFrame(rows, columns = ["name", "transcript"])`

At line data = json.load(json_file) it returns
in transcript = data["results"]["transcripts"][0]["transcript"] KeyError: 'results'`

As far as I understood it tries to fetch the data from a url. Which I don't have ofc. But then, how can I make it work in my case?