Snack_audio_library

Snack Sound Toolkit

Snack Sound Toolkit

Add article description

The Snack Sound Toolkit is a cross-platform library written by Kåre Sjölander of the Swedish Royal Technical University (KTH) with bindings for the scripting languages Tcl, Python, and Ruby. It provides audio I/O, audio analysis and processing functions, such as spectral analysis, pitch tracking, and filtering, and related graphics functions such as display of the sound pressure waveform and spectrogram. It is available on Microsoft Windows, Linux, Mac OS X, Solaris, HP-UX, FreeBSD, NetBSD, and IRIX.

Quick Facts Original author(s), Developer(s) ...

Usage

The Snack Sound Toolkit is used in a number of linguistic research tools, including WaveSurfer, Transcriber, and SndBite, as well as in other applications, such as the snackAmp MP3 music player. It was used in academic research at the Delft University of Technology.[1] The Springer collection Perception in Multimodal Dialogue Systems includes a research essay utilizing Snack for human-computer speech interaction.[2] The toolkit is included as a component of ActiveState's Tcl and Python distributions.[3]

References

  1. [1]
    Dragos Datcu, Leon J.M. Rothkrantz. "Semantic Audio-Visual Data Fusion for Automatic Emotion Recognition" (PDF).
  2. [2]
    Joakim Gustafson and Jens Edlund (2008). "EXPROS: A Toolkit for Exploratory Experimentation with Prosody in Customized Diphone Voices". Perception in Multimodal Dialogue Systems. Lecture Notes in Computer Science. Vol. 5078/2008. Berlin/Heidelberg: Springer. pp. 293–296. CiteSeerX 10.1.1.149.729. doi:10.1007/978-3-540-69369-7_35. ISBN 978-3-540-69368-0. ISSN 0302-9743.
  3. [3]
    "ActiveTcl Features".; "ActivePython Features".
Share this article:

This article uses material from the Wikipedia article Snack_audio_library, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.