Member Avatar for SgtMe

I was wondering if it's possible for me to create a Digital Sound Processing (DSP) program using Python. Basically, I don't know anything about how I would do this and I would like somebody to point me in the right direction. I don't want somebody to write code, but I would like someone to point me in the right direction so I have a starting point. If somebody knows a good site on DSP and DSP algorithms (ie. how to edit the sound to get certain effects). If you find something on mixing or how to make an audio editing program using Python that would be great. I've had a look myself but can't find much, so I'm hoping somebody already knows somewhere to go for this :)
I'm also happy to delve into C++ if that would be better :)
Thanks :)

  • 2 Contributors
  • 2 Replies
  • 392 Views
  • 1 Day Discussion Span
  • Latest Post Latest Post by SgtMe

Dani AI

Generated

For an iRig‑style live guitar amp/effects project (as described), a practical path is: prototype DSP algorithms in Python to learn and iterate fast, then move the working algorithms to native C/C++ or platform-native APIs for a production, low‑latency app. ’s mention of TkSnack is a reasonable quick start for simple I/O and experiments, but instrument apps usually target single‑digit millisecond round‑trip latency, which pushes development toward native audio stacks.

Key algorithms and implementation notes to study next:

  • Distortion/waveshaping: soft/hard clipping, tanh or polynomial shaping; oversample or filter to reduce aliasing.
  • Delay/echo: circular buffer with adjustable read/write indices.
  • Chorus/flanger: short, LFO‑modulated delay with fractional delay interpolation.
  • Reverb: Schroeder/allpass networks or convolution with impulse responses.
  • EQ/filters: biquad IIRs (cookbook coefficients) or FIR for linear phase.
  • Dynamics: envelope follower + gain reduction for compressors/limiters.
    Practical DSP tips: process in small blocks, precompute coefficients, avoid floating allocations in the audio callback, and use lock‑free rings or atomics for GUI ↔ audio parameter changes.

A minimal Python prototyping example (learning only; not production‑grade latency):

import numpy as np
import sounddevice as sd

def callback(indata, outdata, frames, time, status):
    if status:
        print(status)
    x = indata[:, 0]
    y = np.tanh(3.0 * x)       # simple soft clipper
    outdata[:] = np.column_stack([y, y])

with sd.Stream(channels=2, samplerate=44100, blocksize=256, callback=callback):
    sd.sleep(60_000)  # run 60 seconds

For a deployable app (especially on iOS/iPod touch) target native APIs or a proven C++ framework (for example JUCE or native CoreAudio/Audio Units). In production, use a real‑time thread, small buffers (trade CPU for latency), no heap allocations in the audio path, and test on the actual hardware/interface (iRig or equivalent).

Recommended Answers

All 2 Replies

Member Avatar for TrustyTony

Maybe it would help if you could for examle compare your requirements with what pySnack offers http://www.speech.kth.se/snack/

Member Avatar for SgtMe

I had a look at TkSnack but it didn't exactly offer what I wanted. That kind of thing is good, but I would like to make a program similar (in features) to iRig. If you haven't heard of iRig, it allows you to plug your guitar into your iPod touch and use the iPod as an amplifier with sound effects (distortion, reverb etc.)
I would also like to know about the algorithms behind the effects so that I could completely create the program myself entirely. I guess I'll have to use pySnack if there isn't anything else :)
Don't worry if you haven't got anything, I'll have plenty of time for using google in the holidays :L

Be a part of the DaniWeb community

We're a friendly, industry-focused community of developers, IT pros, digital marketers, and technology enthusiasts meeting, networking, learning, and sharing knowledge.