ISCA Archive SLTU 2012
ISCA Archive SLTU 2012

Hausa large vocabulary continuous speech recognition

Tim Schlippe, Edy Guevara Komgang Djomgang, Ngoc Thang Vu, Sebastian Ochs, Tanja Schultz

We report on our efforts toward an LVCSR system for the African language Hausa. We describe the Hausa text and speech database recently collected as a part of our Global- Phone corpus [1]. The data was complemented by a large collection of text data crawled from various Hausa websites. We achieve significant improvement by automatically substituting inconsistent or flawed pronunciation dictionary entries, including tone and vowel length information, applying stateof- the art techniques for acoustic modeling, and crawling large quantities of text material from the Internet for language modeling. A system combination of the best grapheme- and phoneme-based 2-pass systems achieves a word error rate of 13.16% on the development set and 16.26% on the test set on read newspaper speech.

Index Terms: speech recognition, rapid language adaptation, Hausa, African language

T. Schultz, “GlobalPhone: A Multilingual Speech and Text Database Developed at Karlsruhe University,” in ICSLP, 2002


Cite as: Schlippe, T., Djomgang, E.G.K., Vu, N.T., Ochs, S., Schultz, T. (2012) Hausa large vocabulary continuous speech recognition. Proc. 3rd Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2012), 11-14

@inproceedings{schlippe12_sltu,
  author={Tim Schlippe and Edy Guevara Komgang Djomgang and Ngoc Thang Vu and Sebastian Ochs and Tanja Schultz},
  title={{Hausa large vocabulary continuous speech recognition}},
  year=2012,
  booktitle={Proc. 3rd Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2012)},
  pages={11--14}
}