Praat is a computer program for analysing, synthesizing and manipulating speech and other sounds, and for creating publication-quality graphics. It is open source, and available free of charge for all major computer platforms (MacOS, Windows, Linux), on both 32-bit and 64-bit operating systems. It can be downloaded from A speech corpus typically consists of a set of sound files, each of which is paired with an annotation file, and metadata information. Praat’s strengths are in the acoustic analysis of the individual sounds, in the annotation of these sounds, and in browsing multiple sound and annotation files across the corpus. Corpuswide acoustic analyses, leading to tables ready for statistical analysis, can be performed by scripting, as described by Caren Brinckmann elsewhere in this book

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Raphael Lenain, Jack Weston, Abhishek Shivkumar, Emil Fristed: Surfboard: Audio Feature Extraction for Modern Machine Learning (2020) arXiv
  2. Dena J. Clink, Holger Klinck: GIBBONR: An R package for the detection and classification of acoustic signals using machine learning (2019) arXiv
  3. Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, R. Arora, N. Dehak, P.S. Nidadavolu, H. Christensen, F. Rudzicz, M. Yancheva, H. Chinaei, A. Vann, N. Vogler, T. Bocklet, M. Cernak, J. Hannink, Elmar Nöth: NeuroSpeech (2018) not zbMATH
  4. Tupper, P. F.: Exemplar dynamics and sound merger in language (2015)
  5. Fulop, Sean A.: Speech spectrum analysis. (2011)
  6. Ness, Steven R.; Biró, Dániel Péter; Tzanetakis, George: Computer-assisted cantillation and chant research using content-aware web visualization tools (2010) ioport
  7. Pittermann, Johannes; Pittermann, Angela; Minker, Wolfgang: Emotion recognition and adaptation in spoken dialogue systems (2010) ioport
  8. Xiao, Zhongzhe; Dellandrea, Emmanuel; Dou, Weibei; Chen, Liming: Multi-stage classification of emotional speech motivated by a dimensional emotion model (2010) ioport
  9. Kotnik, Bojan; Höge, Harald; Kačič, Zdravko: Noise robust (F0) determination and epoch-marking algorithms (2009)
  10. Silva, Dárcio G.; Oliveira, Luís C.; Andrea, Mário: Jitter estimation algorithms for detection of pathological voices (2009)
  11. Brinckmann, Caren; Trouvain, Jürgen: The role of duration models and symbolic representation for timing in synthetic speech (2003)

Further publications can be found at: