Partiels ~ Audio Analysis Application


Partiels is an audio analysis application that allows you to explore the content and characteristics of sounds.

Features:

Partiels allows analysis of one or several audio files using Vamp plug-ins loading data files, visualizing, editing, organizing, and exporting the results as images or text files that can be used in other applications such as Max, Pure Data, Open Music, etc.

  • Windows, Mac & Linux support
  • Multiformat support
  • Multichannel support
  • Multiaudiofile support
  • Analyzing audio with Vamp plug-ins
  • Visualizing results as spectrogram, lines, and markers
  • Textual and graphical editing of results 
  • Organizing and ordering analyses in groups
  • Exporting results to PNG, JPEG, CSV, LAB, JSON, CUE, REAPER & SDIF formats
  • Loading results from CSV, LAB, JSON, CUE & SDIF formats
  • Batch processing
  • Command line interface to analyze, export, and convert results
  • Consolidating documents for sharing

Alongside Partiels, a wide range of analyses based on audio engines developed at IRCAM and outside are ported to Vamp plug-ins. These plug-ins allow you to perform FFT, LPC, transient, fundamental, formant, tempo, TTS and many other analyses. You can also find a large number of analysis plug-ins on the Vamp plug-ins website.

github.com/Ircam-Partiels
www.vamp-plugins.org

rt_lpc ~ Realtime Linear Predictive Coding


rt_lpc is a light-weight application that performs real-time LPC analysis and synthesis. It features the following:

  • real-time LPC analysis
  • real-time LPC synthesis
  • visualization of original, predicted, and error waveforms
  • visualization of vocal tract shape from LPC coefficients
  • adjustable LPC analysis order
  • adjustable synthesis pitch shift
  • MIDI controlled pitch (hit ‘m’)
  • lots of other choices (pitch pulse source selection, emphasis filter)
  • STFT plot
  • modular LPC library
  • available on MacOS X, Linux, and Windows under GPL
  • part of the sndtools distribution

soundlab.cs.princeton.edu/software/rt_lpc/
en.wikipedia.org/wiki/Linear_predictive_coding
github.com/lewark/lpc.lv2