The first week of GSoC 2012 has already been a busy summer. Here is what I have accomplished so far:
Sphinx4 is an open source speech recognition engine, which involves a wide variety of researchers and developers.
Here is an introduction to how to set up the environment if someone would like to contribute to the project. You can find guild lines for other platform at sphinx4 wiki. Now, I focus only on Ubuntu with Eclipse.
This procedure has been tested on Ubuntu 12.04, but should also work for newer and older releases.
Install Basic required software
$ sudo apt-get install eclipse subversion ant sharutils
Obtaining the Code
Setup JSAPI 1.0, see sphinx4_wiki
$ chmod +x ./jsapi.sh
$ sh ./jsapi.sh View the BCL. Accept it by typing "y"
Now, you can build sphinx4 in Eclipse as follows
If you want to run demo project, follow the steps below:
Now, you can open the file "src/apps/edu/cmu/sphinx/demo/HelloWorld.java"
(author: John Salatas)
Following our previous article on phonetisaurus  and the decision to use this framework as the g2p conversion method for my GSoC project, this article will describe the port of the dictionary alignment script to C++.
The procedure below is tested on an Intel CPU running openSuSE 12.1 x64 with gcc 4.6.2. Further testing is required for other systems (MacOSX, Windows).
The alignment script requires the openFST library  to be installed on your system. Having downloaded, compiled and installed openFST, the first step is to checkout the alignment code from the cmusphinx SVN repository:
$ svn co https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/branches/g2p/train
and compile it
$ cd train
g++ -c -g -o src/align.o src/align.cpp
g++ -c -g -o src/phonetisaurus/M2MFstAligner.o src/phonetisaurus/M2MFstAligner.cpp
g++ -c -g -o src/phonetisaurus/FstPathFinder.o src/phonetisaurus/FstPathFinder.cpp
g++ -g -l fst -l dl -o src/align src/align.o src/phonetisaurus/M2MFstAligner.o src/phonetisaurus/FstPathFinder.o
Having compiled the script, running it without any command line arguments will print out it's usage, which is similar to that of the original phonetisaurus m2m-aligner python script:
$ cd src
Input file not provided
Usage: ./align [--seq1_del] [--seq2_del] [--seq1_max SEQ1_MAX] [--seq2_max SEQ2_MAX]
[--seq1_sep SEQ1_SEP] [--seq2_sep SEQ2_SEP] [--s1s2_sep S1S2_SEP]
[--eps EPS] [--skip SKIP] [--seq1in_sep SEQ1IN_SEP] [--seq2in_sep SEQ2IN_SEP]
[--s1s2_delim S1S2_DELIM] [--iter ITER] --ifile IFILE --ofile OFILE
--seq1_del, Allow deletions in sequence 1. Defaults to false.
--seq2_del, Allow deletions in sequence 2. Defaults to false.
--seq1_max SEQ1_MAX, Maximum subsequence length for sequence 1. Defaults to 2.
--seq2_max SEQ2_MAX, Maximum subsequence length for sequence 2. Defaults to 2.
--seq1_sep SEQ1_SEP, Separator token for sequence 1. Defaults to '|'.
--seq2_sep SEQ2_SEP, Separator token for sequence 2. Defaults to '|'.
--s1s2_sep S1S2_SEP, Separator token for seq1 and seq2 alignments. Defaults to '}'.
--eps EPS, Epsilon symbol. Defaults to ''.
--skip SKIP, Skip/null symbol. Defaults to '_'.
--seq1in_sep SEQ1IN_SEP, Separator for seq1 in the input training file. Defaults to ''.
--seq2in_sep SEQ2IN_SEP, Separator for seq2 in the input training file. Defaults to ' '.
--s1s2_delim S1S2_DELIM, Separator for seq1/seq2 in the input training file. Defaults to ' '.
--iter ITER, Maximum number of iterations for EM. Defaults to 10.
--ifile IFILE, File containing sequences to be aligned.
--ofile OFILE, Write the alignments to file.
The two required options are the pronunciation dictionary to align (IFILE) and the file in which the aligned corpus will be saved (OFILE). The script provide default values for all other options and cmudict (v. 0.7a) can be aligned simply by the following command
$ ./align --seq1_del --seq2_del --ifile
allowing for deletions in both graphemes and phonemes
$ ./align --ifile
not allowing for deletions
In order to test the new alignment script's performance in both its results and its requirements for cpu and memory usage, I have performed two tests for aligning of the full cmudict (v. 0.7a) allowing deletions in both sequenses:
$ ./align --seq1_del --seq2_del --ifile ../data/cmudict.dict --ofile ../data/cmudict.corpus.gsoc
and compared with the original phonetisuarus script
$ ./m2m-aligner.py --align ../train/data/cmudict.dict -s2 -s1 --write_align ../train/data/cmudict.corpus
Comparing of the two outputs using the linux diff util, didn't result in major differences. Minor differences were noticed in case of the alignment double vowels and consonants with a single phoneme, as in the two following examples:
-B}B O}AO1 R}_ R}R I}IH0 S}S
+B}B O}AO1 R}R R}_ I}IH0 S}S
-B}B O}AO1 S|C}SH H}_ E}_ E}IY0
+B}B O}AO1 S|C}SH H}_ E}IY0 E}_
3.2. CPU memory usage
In the system described above, the average (of two runs) running time for new aligned command was 1h:14m in comparison to an average of 1h:28m of the original phonetisaurus script. Both scripts consumed the same RAM amount (~ 1.7GB).
Conclusion – Future works
This article presented the new g2p align script which seems to produce the same results as the original one and is a little bit faster than that.
Although it should compile and run as expected to any modern linux system, further testing is reeuired for other systems (like MacOSX, windows). We need also to investigated the alignment differnces (compared to the original script) in the vowels and consonants as described above. Although it doesn't seem critical, it may cause problems later.
 Phonetisaurus: A WFST-driven Phoneticizer – Framework Review
 OpenFst Library, http://www.openfst.org/twiki/bin/view/FST/WebHome
Currently, my goal is to build a web interface which allows users to evaluate their pronunciation. Some of the sub-tasks have already been accomplished, and some of them are still ongoing: