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, visualizingeditingorganizing, 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