Abstract
This paper describes the process of recording, annotation, correction and evaluation of the new Broadcast News (BN) speech database named KEMT-BN2, as an extension for our older KEMT-BN1 and COST-278 databases used for automatic Slovak continuous speech recognition development. The database utilisation and statistics are presented. This database was prepared for evaluation of the automated BN transcription system, developed in our laboratory, which is mainly used for subtitle generation for recorded BN shows. The speech database is the key part of the acoustic models training for specific domains and also for speaker and anchor adapted models creation.
Highlights
The development of continuous speech recognition (CSR) systems in Slovak language expects a large amount of different language resources to be collected [1 and 2]
The database is a follower of the KEMT-BN1 [7] and the Slovak part of the COST-278 [8] database realized in our laboratory [9]
The broadcast news task is a very popular issue nowadays, because the government regulation specifies the minimal amount of shows with hidden subtitles for hearing impaired spectators
Summary
The development of continuous speech recognition (CSR) systems in Slovak language expects a large amount of different language resources to be collected [1 and 2]. The speech database needs to be built, which is the most expensive and demanding task [3]. The KEMT-BN2 database campaign was carried out between 2009 and 2011. It consists of broadcast news (BN) shows from the first Slovak public service broadcaster television (STV1 – Jednotka). The transcription task was mainly realized by brigadiers, and trained and evaluated by transcription specialist. The database is a follower of the KEMT-BN1 [7] and the Slovak part of the COST-278 [8] database realized in our laboratory [9] (recorder from TA3 news television). Statistics of the collected annotated data in the database is depicted and discussed in conclusions and future work
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