MAUS - Munich AUtomatic Segmentation
MAUS uses a combination of machine-learned and statistically weighted rules to predict possible pronunciation variants, and a HTK based HMM search algorithm to find the most likely segmentation and labelling.
MAUS is free-ware and can be down-loaded from our FTP server (see links) or used as a web-service (under construction within the CLARIN-D project). To use MAUS on your computer you'll need the following requirements:
Running MAUS on Windows is possible, but the installation is tedious since the MAUS package consists of csh scripts (you'll need cygwin to run these under Windows) and c++ code (you need a compiler for c++).
MAUS currently supports the languages German (full), English, Hungarian, Islandic, Estonian, Italian (without pronunciation modelling), Spanish, Portuguese (beta). MAUS can be adapted to new languages on several levels of performance (contact F. Schiel if you plan to do so).
Links
Publications
Conference papers
- M.-B. Wesenick, F. Schiel (1994): Applying Speech Verification to a Large Data Base of German to Obtain a Statistical Survey About Rules of Pronunciation, Proceedings of ICSLP 1994, pp. 279 - 282, Yokohama.
- A. Kipp, M.-B. Wesenick, F. Schiel (1996): Automatic Detection and Segmentation of Pronunciation Variants in German Speech Corpora; in: Proceedings of the ICSLP 1996. Philadelphia, pp. 106-109, Oct 1996.
- M.-B. Wesenick, A. Kipp (1996): Estimating the Quality of Phonetic Transcriptions and Segmentations of Speech Signals; in: Proceedings of the ICSLP 1996. Philadelphia, pp. 129-132, Oct 1996.
- M.-B. Wesenick (1996): Automatic Generation of German Pronunciation Variants; in: Proceedings of the ICSLP 1996. Philadelphia, pp. 125-128, Oct 1996.
- Kipp, A., Wesenick, B. & Schiel, F. (1997): Pronunciation Modeling Applied to Automatic Segmentation of Spontaneous Speech; in: Proceedings of the EUROSPEECH 1997, Rhodos, Greece, pp. 1023-1026.
- F. Schiel (1997): Probabilistic analysis of pronunciation with MAUS; in: The ELRA Newsletter, December 1997, pp. 6-9.
- Beringer, N., Schiel, F., Brietzmann, P. (1998): German Regional Variants - A Problem for Automatic Speech Recognition?; in: Proceedings of the ICSLP 1998. Sydney, Vol. 2, pp. 85ff, Dec. 1998.
- Beringer, N.; Schiel, F. (1999) Independent Automatic Segmentation of Speech by Pronunciation Modeling. Proc. of the ICPhS 1999. San Francisco. August 1999. pp. 1653-1656
- Schiel, F. (1999): Automatic Phonetic Transcription of Non-Prompted Speech Proc. of the ICPhS 1999. San Francisco, August 1999. pp. 607-610
- Beringer N, Schiel F (2000): The Quality of Multilingual Automatic Segmentation Using German MAUS. Proc. of the International Conference on Spoken Language Processing, Beijing, China.
- N. Beringer (2003): Regeladaptive kategoriale Analyse von Spontansprache - eine sprachenübergreifende Untersuchung. DAGA03 - 29. Jahrestagung für Akustik, Aachen.
- Schiel, F. (2004): MAUS Goes Iterative. Proc. of the IV. International Conference on Language Resources and Evaluation, Lisbon, Portugal, pp. 1015-1018.
- Schiel F, Draxler Chr, Harrington J (2011): Phonemic Segmentation and Labelling using the MAUS Technique. Workshop 'New Tools and Methods for Very-Large-Scale Phonetics Research', University of Pennsylvania, January 28-31, 2011.
Dissertations
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Kipp, A. : Automatische Segmentierung und Etikettierung von Spontansprache; Shaker Verlag Aachen 1999.
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Beringer, N. : Regeladaptive kategoriale Analyse von Spontansprache; Shaker Aachen 2002