Abstract
Developing a large vocabulary automaticspeech recognition system is a very difficult task, due to the high variations in domain andacoustic variability. This task is even more difficult for the Latvian language, which is veryrich morphologically and in which one word can have dozens of surface forms. Althoughthere is some research on speech recognition for Latvian, Latvian ASR remains behind "big" languages such as English, German etc. In order to improve the performance of LatvianASR, it is important to understand what errors does it make and why. In this paper, the authorsanalyze the most common errors of Latvian ASR. Based on this, baseline system WER isimproved from 30.94% to 28.43%.
| Original language | English |
|---|---|
| Pages (from-to) | 563-569 |
| Number of pages | 7 |
| Journal | International Conference Recent Advances in Natural Language Processing, RANLP |
| Volume | 2015-January |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015 - Hissar, Bulgaria Duration: 7 Sept 2015 → 9 Sept 2015 |
OECD Field of Science
- 1.2 Computer and Information Sciences
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