Sentence mixing
Project description
Sentence mixing
This library is used to analyze and smartly reorder phonems of an audio sequence to form any desired sentence. The goal of this library is to generate Sentence Mixing Youtube poops (example).
Entry file is sentence_mixer.py
.
Here are examples of applications based on the library:
MFA
SM library is using Montreal Forced Aligner, a powerful tool used to timestamp words and phonems in a subtitled audio file.
Installing MFA
- Download release source code 1.1.0 Beta 2
- Extract it as
Montreal-Forced-Aligner
- Install all python modules listed in
requirements.txt
JSON config file
To use the library, you have to provide a json configuration file. Here are all the fields to add into it:
dict_path
: Path to dictionnary file. This dictionnary associates every words of a language to associated phonemsalign_exe
: MFA executable filetrained_model
: pre-trained model MFA will use. Should be a ZIP filelang
: language. Only 'fr' is supported nowdict_consonant_vowel_path
: Path to dictionary declaring the consonant and vowel phonemsfolder
: Folder where the Youtube subtitles will be stored
This config file should be passed through the function prepare_sm_config_file
Recommended config.json
dict_path
: For french users, usefr.dict
from SM-Dictionaries repoalign_exe
:Montreal-Forced-Aligner/bin/mfa_align $@
trained_model
: Choose one of the MFA pretrained model. For french users, use prosodylab version.dict_consonant_vowel_path
: For french users, usefr_consonant_vowel.dict
from SM-Dictionaries repo
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