DOA-informed switching independent vector extraction and beamforming for speech enhancement in underdetermined situations

Abstract This paper proposes novel methods for extracting a single Speech signal of Interest (SOI) from a multichannel observed signal in underdetermined situations, i.e., when the observed signal contains more speech signals than microphones. It focuses on extracting the SOI using prior knowledge o...

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Detalhes bibliográficos

Principais autores:	Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Shoji Makino
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2024-10-01
coleção:	EURASIP Journal on Audio, Speech, and Music Processing
Assuntos:	Speech enhancement Underdetermined situations Switching mechanism Time-varying Gaussian distribution
Acesso em linha:	https://doi.org/10.1186/s13636-024-00373-3
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