Japanese speech databases for robust speech recognition

Ar ATR, a next-generation speech translation system is under development towards natural trans-language communication. To cope with the various requirements to speech recognition technology for the new system, further research efforts should emphasize the robustness for large vocabulary, speaking variations often found in fast spontaneous speech and speaker variances. These are key problems to be solved not only for speech translation bur also far the general use of speech recognition in real environments In this paper, three large speech databases are designed to cope with these problems in speech recognition acid the current status of data collection is reported.