Abstract
This paper deals with the use of speaker adaptation methods in the broadcast news transcription task, which is very difficult from speaker adaptation point of view. It is because in typical broadcast news, speakers change frequently and their identity is not known in the time when the given program is being transcribed. Due to this fact, it is often necessary to use some unconventional speaker adaptation methods here which can operate without the knowledge of speaker’s identity and/or in an unsupervised mode too. In this paper, we compare and propose several such methods that can operate both in on-line and off-line modes in addition and we show their performance in a real broadcast news transcription system.
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Červa, P., Ždánský, J., Silovský, J., Nouza, J. (2008). Study on Speaker Adaptation Methods in the Broadcast News Transcription Task. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_36
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DOI: https://doi.org/10.1007/978-3-540-87391-4_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87390-7
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