g2p | Phoneme transductions that preserve input | Machine Learning library
kandi X-RAY | g2p Summary
kandi X-RAY | g2p Summary
Grapheme-to-Phoneme transformations that preserve input and output indices!. This library is for handling arbitrary conversions between input and output segments while preserving indices.
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Top functions reviewed by kandi - BETA
- Generate a mapping
- Returns the name of the mapping type
- Reduce the mapping
- Write config to file
- Convert a text file to another
- Shade a colour
- Given a hex color return the contrast of the text color
- Return the ETRart data
- Normalize kwargs
- Convert a rule to a regular expression
- Convert a string to PFA
- Reverse mappings
- Show mapping between two languages
- Initialize a tokenizer
- Load language cache from disk
- Get available mappings
- Deprecated
- Tokenize the input
- Transducer
- Return a list of available languages
- Setup a logger
- Convert a pattern to a fixed - width list
- Gets the translation
- Scan the given language
- Validates a mapping
- Load a language network file
g2p Key Features
g2p Examples and Code Snippets
pip3 -V
echo $PATH
g2p-seq2seq --version
import subprocess
g2p_process = subprocess.run(["./eng_GBR/g2p", "@g2pumap=./map.txt"], input=b'teststring\n')
import subprocess
g2p_process = subprocess.Popen(
["./eng_GBR/g2p", "@g2pumap=./map.txt"],
s
import subprocess
open("Edited.py", "w").write("Thing To Write")
A = subprocess.Popen('Command you want to call', shell = True, stdout = subprocess.PIPE, stderr = subprocess.PIPE)
print(A.communicate())
Community Discussions
Trending Discussions on g2p
QUESTION
I've modified LiveOverflow's game proxy from this video to work with Python 3.8 (the one I'm using). However it spits out:
...ANSWER
Answered 2019-Nov-27 at 22:11Python has a built-in parser
module. It seems import parser
is importing this instead of your local module. Try renaming your parser.py
file to any other name and changing the import
statement accordingly.
QUESTION
mac OS I am trying to use cmu dictionary for speech recognition. Steps I took:
...ANSWER
Answered 2019-Feb-04 at 01:24What Oluwafemi Sule says in comment is right.
QUESTION
I was wandering through the code of Sequitur G2P and found a really strange line of code:
...ANSWER
Answered 2017-Jul-27 at 13:49Presumably this
is part of an array, so this+1
would refer to the next object in that array.
QUESTION
The Carnegie Mellon University pronouncing dictionary allows to get phonemes from words. I did some research on the Internet and it appears that there are some extensions as the LOGIOS Lexicon Tool which derives the phonemes for arbitrary words that might not be included in the original CMU dictionary (http://www.speech.cs.cmu.edu/tools/lextool.html). The same can be obtained by using a neural network model (https://github.com/cmusphinx/g2p-seq2seq), so that basically for each word we can get the corresponding phonemes.
But is the process reversible for every word? Obviously for words already contained in the CMU dictionary the reversing is unnecessary since the word is attached to the corresponding phonemes. But how can I get the word from arbitrary phonemes? Is that a tool for that (possibly in Python) or should I implement the reverse by myself maybe looking at the source code doing the word-to-phoneme parsing and trying to revert it (if possible)?
...ANSWER
Answered 2018-Jun-12 at 00:40The most natural way is to train some seq2seq neural network model to perform phoneme to grapheme conversion.
g2p-seq2seq used to support phoneme to grapheme mode, see github issue, but this feature was lost in recent upgrade. It would be nice to bring it back.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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