VOICEBOX

VOICEBOX: Speech Processing Toolbox for MATLAB. VOICEBOX is a speech processing toolbox consists of MATLAB routines that are maintained by and mostly written by Mike Brookes, Department of Electrical & Electronic Engineering, Imperial College, Exhibition Road, London SW7 2BT, UK. Several of the routines require MATLAB V6.5 or above and require (normally slight) modification to work with earlier veresions. The routines are available as a zip archive and are made available under the terms of the GNU Public License. The routine VOICEBOX.M contains various installation-dependent parameters which may need to be altered before using the toolbox. In particular it contains a number of default directory paths indicating where temporary files should be created, where speech data normally resides, etc. You can override these defaults by editing voicebox.m directly or, more conveniently, by setting an environment variable VOICEBOX to the path of an initializing m-file. See the comments in voicebox.m for a fuller description. For reading compressed SPHERE format files, you will need the SHORTEN program written by Tony Robinson and SoftSound Limited www.softsound.com. The path to the shorten executable must be set in voicebox.m.Unfortunately, the current version does not work on 64-bit systems.


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. Keriven, Nicolas; Bourrier, Anthony; Gribonval, Rémi; Pérez, Patrick: Sketching for large-scale learning of mixture models (2018)
  3. Lal, G. Jyothish; Gopalakrishnan, E. A.; Govind, D.: Accurate estimation of glottal closure instants and glottal opening instants from electroglottographic signal using variational mode decomposition (2018)
  4. Lal, G. Jyothish; Gopalakrishnan, E. A.; Govind, D.: Epoch estimation from emotional speech signals using variational mode decomposition (2018)
  5. Sharma, Rajib; Prasanna, S. R. M.; Rufiner, Hugo Leonardo; Schlotthauer, Gastón: Detection of the glottal closure instants using empirical mode decomposition (2018)
  6. Ma, Wentao; Chen, Badong; Zhao, Haiquan; Gui, Guan; Duan, Jiandong; Principe, Jose C.: Sparse least logarithmic absolute difference algorithm with correntropy-induced metric penalty (2016) ioport
  7. Vijayan, Karthika; Murty, K. Sri Rama: Epoch extraction by phase modelling of speech signals (2016) ioport
  8. McLoughlin, Ian Vince; Song, Yan: Mouth state detection from low-frequency ultrasonic reflection (2015) ioport
  9. Weychan, Radoslaw; Marciniak, Tomasz; Stankiewicz, Agnieszka; Dabrowski, Adam: Real time recognition of speakers from Internet audio stream (2015) ioport
  10. Rybka, Jan; Janicki, Artur: Comparison of speaker dependent and speaker independent emotion recognition (2013) ioport
  11. Silva, Dárcio G.; Oliveira, Luís C.; Andrea, Mário: Jitter estimation algorithms for detection of pathological voices (2009)