Spectogram engine

Converts WAV files to spectograms (.png) and the other way. Inspired by the ARSS

Features

• Has color and brightness to depict the amplitude. (ARSS has only brightness)
• Can convert from spectogram to WAV with minimum loss in quality. (ARSS loses a lot of data)

Installation

Use the package manager pip to install the dependencies.

pip install Specto

Usage

WAV to Spectogrm

from Specto import Turtle
# Loading the worker
turtle = Turtle(minMagnitude=0.004416916563059203,     # Minimum frequency
		maxMagnitude=2026134.8514368106,       # Maximum Frequency
		minPhase=-math.pi,
		maxPhase=math.pi)
				
rate, audData  =  scipy.io.wavfile.read(WAV_FILE_NAME) # Reading the Audio file
audData  =  audData.sum(axis=1) /  2                   # combining 2 channels to one
img = turtle.genGramForWav(audData)                    # Generating the img
img.save(OUTPUT_FILE_NAME, "PNG")                      # saving the img

Spectogram to WAV

from Specto import Turtle
# Loading the worker
turtle = Turtle(minMagnitude=0.004416916563059203,     # Minimum frequency
		maxMagnitude=2026134.8514368106,       # Maximum Frequency
		minPhase=-math.pi,
		maxPhase=math.pi)
				
rec  =  turtle.genWavForGram(WAV_FILE_NAME)            # Generating the WAV
scipy.io.wavfile.write(OUTPUT_FILE_NAME, 44100, rec)   # Saving the WAV file 

Roadmap

• A simple UI
• Use Numba to make it faster
• Auto conversion from other audio formats to WAV.