prepare Namespace Reference

Classes
class	DataPreparation
class	Flags
class	Index

Functions
def	main ()

Detailed Description

This module has been written to prepare the files and directory structure
required by Kaldi-ASR to develop Acoustic Models.

Structure of the CSV file:

-----------------------------------------------------------------
| SPEAKER_ID | UTTERANCE_ID | WAV_PATH | TRANSCRIPTION | GENDER |
-----------------------------------------------------------------

TODO:
1. Check correctness of file endings for each created data file
2. Analyse the best suited format for value of fields SPEAKER_ID and UTTERANCE_ID.
   Change the following methods accordingly:
a. text
b. wav.scp
c. spk2utt
d. utt2spk
3. Analyse the best suited naming structure for each FILE

Function Documentation

main()

def prepare.main

(

)

When script is executed as __main__:

Args:
    param1 (str): Absolute path of the CSV metadata file
    param2 (str): Absolute path of the root directory of Speech Recognition System
    param3 (str): Type of Dataset

Definition at line 417 of file prepare.py.