Building of children speech corpus for improving automatic subtitling services

Building of children speech corpus for improving automatic subtitling services

This paper describes the development and first evaluation of the new Slovak children speech audio corpus for improving the automatic broadcast news subtitling engine developed on the Technical University of Kosice in cooperation with the Slovak Academy of Sciences. The current automatic speech recognition (ASR) systems are reliable for a clean, prepared speech of adults with not very long pause inside the sentences. For speech recognition of children's, it is still a challenge from different reasons. They use much slang, and diminutive words, undeveloped pronunciation, shorter vocal tract (different speech parameters), the sentence syntax is different. The paper presents the results of the children speech automatic recognition from the system built for broadcast news transcription.