ljnormalize's Introduction

LJNormalize

Normalize .csv's similarly to the LJ Speech Dataset

Normalize and format data in .csv's in a way that mimics the LJ Speech Dataset. This script is intended to be used in conjunction with srt-parse.py (see https://github.com/cubrink/srt-parse)

Usage

usage: LJNormalize [-h] [--overwrite OVERWRITE] [--out-filename OUT_FILENAME]
                   [--in-encoding IN_ENCODING] [--out-encoding OUT_ENCODING]
                   [--csv-seperator CSV_SEPERATOR]
                   [--log-troublesome LOG_TROUBLESOME] [--log-name LOG_NAME]
                   input

Normalize text data in csv similarly to the LJSpeech dataset

positional arguments:
  input                 Location of .csv file to be normalized

optional arguments:
  -h, --help            show this help message and exit
  --overwrite OVERWRITE
                        Write directly to the input file
  --out-filename OUT_FILENAME
                        Name of file to write to
  --in-encoding IN_ENCODING
                        Encoding to use when reading the .csv
  --out-encoding OUT_ENCODING
                        Encoding to use when writing to .csv
  --csv-seperator CSV_SEPERATOR
                        Character to used to seperate csv columns
  --log-troublesome LOG_TROUBLESOME
                        Create a log file listing lines with difficult
                        characters to normalize.
  --log-name LOG_NAME   Name of log file

Known problems

Currently lines using currency symbols (e.g. $) are detected but not normalized. The location of these symbols are noted in the log file (troublesome.log by default)
Roman numerals are not currently detected or logged. If any are present in the input .csv, they will need to be found and normalized manually.