capsule 发表于 2025-3-25 07:24:18

Explicit Speech Modeling for Microphone Array Applicationsa frequency domain approach illustrating the utility of model-based microphone array processing for improved speech spectral analysis. The second is a time domain procedure which highlights the benefits of speech modeling/spatial filtering fusion for the purpose of improving speech quality.

删除 发表于 2025-3-25 08:22:36

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与野兽博斗者 发表于 2025-3-25 14:23:44

1612-1457 urvey on the field and contributions of internationally renoThe study and implementation of microphone arrays originated over 20 years ago. Thanks to the research and experimental developments pursued to the present day, the field has matured to the point that array-based technology now has immediat

即席演说 发表于 2025-3-25 16:02:18

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BARK 发表于 2025-3-25 23:53:06

Blind Separation of Acoustic Signalsrse problems are made. Several algorithms are described, including a novel algorithm that largely maintains the spectral content of the original mixtures in the extracted source signals. Numerical experiments are also provided to explore the behaviors of the algorithms in real-world blind signal separation tasks.

adduction 发表于 2025-3-26 01:33:03

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OPINE 发表于 2025-3-26 08:05:56

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灵敏 发表于 2025-3-26 08:45:59

Joint Audio-Video Signal Processing for Object Localization and Trackingincorporated. Such a situation is typical for combined audio-video sensing, since different coordinate systems are usually used for the camera system and the microphone array..At first, the decentralized estimation algorithm is presented. Then a speaker localization example is discussed. Finally, some estimation results are shown.

Gentry 发表于 2025-3-26 12:44:40

Microphone-Array Hearing Aidsrberation, number of interferers, and relative levels of interferers encountered by hearing-aid users in everyday situations is required to quantify the benefit of microphone-array hearing aids and to select the optimal processing strategy.

VERT 发表于 2025-3-26 19:30:01

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查看完整版本: Titlebook: Microphone Arrays; Signal Processing Te Michael Brandstein,Darren Ward Book 2001 Springer-Verlag Berlin Heidelberg 2001 acoustics.filtering