Sphinx-II

Sphinx2 is a decoding engine for the Sphinx-II speech recognition system developed at Carnegie Mellon University. It can be used to build small, medium or large vocabulary applications

Keywords for this software

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References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Bassiou, Nikoletta; Kotropoulos, Constantine: Long distance bigram models applied to word clustering (2011)
  2. Chen, Bo; He, Hui; Guo, Jun: Constructing maximum entropy language models for movie review subjectivity analysis (2008) ioport
  3. Fink, Gernot A.: Markov models for pattern recognition. From theory to applications. (2008)
  4. Hyassat, Hussein; Abu Zitar, Raed: Arabic speech recognition using SPHINX engine (2008) ioport
  5. Yan, Rong; Hauptmann, Alexander G.: A review of text and image retrieval approaches for broadcast news video (2007) ioport
  6. Zheng, Fang; Zhang, Guoliang; Song, Zhanjiang: Comparison of different implementations of MFCC (2001)
  7. Tchorz, Jürgen: Auditory-based signal processing for noise suppression and robust speech recognition (2000)
  8. Waibel, Alex; Vo, Minh Tue; Duchnowski, Paul; Manke, Stefan: Multimodal interfaces. (1996) ioport