Towards Robust Speech Analysis
作者： Jean-Claude Junqua , Jean-Paul Haton
DOI: 10.1007/978-1-4613-1297-0_7
关键词:
摘要: This chapter focuses on robust speech acquisition and analysis. It begins by reviewing methods that have been shown to provide important noise reduction improved quality at the first processing stage of a recognizer, namely level. Then, three auditory models, especially successful in conditions, are detailed. Together with their description, application ASR is also summarized. Finally, field spectral estimation ARMA modeling outlined.
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