SPTK basic operation: .wav, .raw., .short

The Speech Signal Processing Toolkit (SPTK) is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis filter, vector quantization techniques, and other extended versions of them. It is developed by Prof. Imai and Prof. Kobayashi of Tokyo Inst. of Tech, and currently maintained by Nagoya Inst. of Tech. To install SPTK in Linux and Unix based-OS is easy, download the source file, extract and do the following,

./configure
make
sudo make install

That's all installation process, it will install SPTK in /usr/local/SPTK by default.

Add SPTK path to .bashrc

Now SPTK is installed in our machine, but by default it is (SPTK command) not searchable in our shell/terminal. To make it searchable (instead of use /usr/local/SPTK/bin/command everytime), we can add the path to .bashrc. Open .bashrc with editor (vim/gedit/other) and add the following,

export PATH=$PATH:/usr/local/SPTK/bin

And it's added to our command path, check it by using "impulse -h" in terminal. If done, it will show man pages of "impulse" command.

Remove Header : Convert Wav to Raw

SPTK provide utilities to remove header file in sound recording process by converting wav files to raw files (and we can convert it back to wav file). Here is how,

wav2raw +s data.wav

In current directory, there will be new file data.raw with header file removed. Argumen +s is for short data type, you can check full argument by wav2raw -h. To convert back in wav, use "raw2wav" command.

Convert to Short

To convert data from raw, wav or other format to .short (because mainly processing in SPTK is in .short format) we use command "x2x",

x2x +s data.raw > data.short 

It will covert raw to short, you can try to change other format.

Plot Waveform

Plot waveform in SPTK

Menghitung MSE dari .wav file di Matlab

MSE (mean squared error) adalah salah satu standar evaluasi obyektif (objective evaluation) pada dunia sains dan teknik, baik pada cabang ilmu fisika, kimia, biologi, informatika, elektronika dan bidang rekayasa yang lain. Misalkan kita mempunyai sebuah data atau sinyal (suara, gambar, dll) yang telah kita manipulasi (enhancement, separation, improvement) dan kita ingin membandingkan sinyal output (estimasi, enhanced, separated) dengan sinyal aslinya, maka kita membandingkan sinyal asli dan sinyal estimasi tersebut dengan teknik MSE dengan salah satu syarat: panjang sinyalnya sama.

Secara matematik, MSE dirumuskan sebagai berikut,

Sedangkan implementasi dalam matlab untuk file suara yang berekstensi .wav dapat dilihat pada kode di bawah. Cara menggunakan fungsi ini cukup mudah, yakni (dalam Matlab command window): msewav('fileinput.wav','fileoutput.wav').

Pastikan file fungsi ini beserta dua file wav yang akan dihitung MSE-nya ada dalam satu folder (direktori) dimana anda bekerja, atau gunakan perintah addpath untuk menambahkannya ke dalam direktori kerja anda.

msewav.m (Github )

Convolution of Two .wav Sound Files in Linux and Matlab

Convolution is the very basic and main operation in Signal Processing. My professor said that Convolution is the heart of signal processing. If we has two .wav sound files how to convolute them?

In Linux, first download the bash file here. Then follow the instruction below,

1. Ubuntu and other distribution> Unzip and untar the download by typing 

    $ gunzip fconv.tar.gz
    $ tar -xvf fconv.tar
    

2. If you are in the same directory as the program, it will run. Just type "fconv" at the command line. SLACKWARE INSTALLATION: