Comparison of Slovak and Czech speech recognition based on grapheme and phoneme acoustic models
نویسندگان
چکیده
Grapheme based mono-, crossand bilingual speech recognition of Czech and Slovak is presented in the paper. The training and testing procedures follow the MASPER initiative that was formed as a part of the COST 278 Action. All experiments were performed using Czech and Slovak SpeechDat-E databases. Grapheme-based models gave equivalent recognition performance compared to phoneme-based models in monolingual as well as bilingual case. Moreover bilingual SKCZ speech recognition is equivalent to monolingual recognition, which indicates the possibility to share Czech and Slovak speech data for training bilingual grapheme-based acoustic models usable for recognition of Slovak as well as Czech. Also the promising results confirmed the presumption, that languages with a close grapheme-to-phoneme relation are well suited for grapheme-based speech recognition.
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