YAST: A Scalable ASR Toolkit Especially Designed for Under-Resourced Languages

The ability to collect and process a large amount of resources (e.g. vocabularies, text corpora, transcribed speech corpora and phonetic dictionaries) constitutes a critical prerequisite of systems based on statistical methods. This aspect becomes crucial for languages presenting a lack of computer...

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Bibliographische Detailangaben

Hauptverfasser:	Ferreira, E., Nocera, P., Goudi, M., Thi, N. D. D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Buildings Computer Science Context modeling Estimation fast building ASR Hidden Markov models pi-project Speech Speech recognition SPEERAL under-resourced languages YAST
Online-Zugang:	Volltext bestellen
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