Parliament Archives Used for Automatic Training of Multi-lingual Automatic Speech Recognition Systems

摘要

In the paper we present a fully automated process capable of creating speech databases needed for training acoustic models for speech recognition systems. We show that archives of national parliaments are perfect sources of speech and text data suited for a lightly supervised training scheme, which does not require human intervention. We describe the process and its procedures in details and demonstrate its usage on three Slavic languages (Polish, Russian and Bulgarian). Practical evaluation is done on a broadcast news task and yields better results than those obtained on some established speech databases.