Update README.md

update methods and names

Author: nimaiji

README.md

@@ -1,29 +1,44 @@
-# Sound Recognition with Python
+# Process sounds easy on python :headphones:
 
 ## First Of All
-Clone or Download project and ...
+Clone or Download project and import "sound.py" to your code:
 ```python
-import Sound
+import sound
 ```
-## Sound simulation
-* Initialize a Sound module with 
+## Create a Noise
+* import Noise class from sound.py and initial it with a Wav file or byte array of a sound:
 ```python
-s = Sound.Sound(path='path.wav')
-```
-or
-```python
-s = Sound.Sound(path='path.wav',name='mySound')
-```
+Import Noise from sound
+noise1 = Noise(path='./M1.wav', name='Mic 1')
 
-* Initialize FFT(Fast Fourier transform) on our Sound module
-```python
-s.initFFT()
-print(s.getFFT())
-s.drawFFT()
-```
-* Sound schematics
-```python
-s.draw() #Sound Digital Schematic
-s.drawFFT() #Sound FFT Schematic
+# plot your noise
+noise1.draw()
 ```
+Method | Usage
+------- | -------
+parse_wav() | parse wav file to byte array
+init_fft() | initials fft of noise
+get_fft() | returns fft of noise
+get_energy() | returns energy (power) of noise
+get_duration() | returns duration of noise in seconds
+get_slice() | returns slice of noise like 2 seconds of noise
+get_max() | returns upper bound of amplitude
+when_max() | returns when upper bound happends in seconds
+shift_right() | shifts noise signal to right in time domain
+shift_left() | shifts noise signal to left in time domain
+reverse() | reverses noise
+convolve(other) | convolve the noise to another or use '*' operator like 'n1 * n2'
+draw() | plot the noise in time domain
+draw_fft() | plot the noise fft in frequency domain
+draw_all() | plot the noise and fft both
+draw_phase() | plot phase of voise in frequency domain
+hear_noise() | returns IPython.display.audio object to hear noise in Jupyter Notebook
+
 
+* Requirments
+  * matplotlib==3.3.0
+  * numpy==1.19.1
+  * scipy==1.5.1
+  * ipython==7.16.1
+  * For better experince install "Jupyter Notebook"
+