Results 51 to 60 of about 2,995 (171)
Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
Reverberation is a common problem for many speech technologies, such as automatic speech recognition (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech ...
Mikolaj KUNDEGORSKI +2 more
doaj +1 more source
Robust Audio Adversarial Example for a Physical Attack
We propose a method to generate audio adversarial examples that can attack a state-of-the-art speech recognition model in the physical world. Previous work assumes that generated adversarial examples are directly fed to the recognition model, and is not ...
Sakuma, Jun, Yakura, Hiromu
core +1 more source
The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such
Huan-Yu Dong, Chang-Myung Lee
doaj +1 more source
Active noise control (ANC) algorithms have been developed within the adaptive algorithm framework. However, multichannel ANC systems, which include numerous reference sensors, control speakers, and error microphones, require a very long control filter converging time for control filter estimation.
Hakjun Lee +2 more
wiley +1 more source
Abstract Large continental transform faults are thought to cross‐cut the crust and extend into the lithospheric mantle. However, the strain distribution associated with these faults at mantle depths is not well understood. At the heart of this question is the rheology of the lithosphere: when stressed by displacement on a trans‐crustal fault, does the ...
Hannah F. Mark
wiley +1 more source
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings [PDF]
We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeling and speech recovery.
Asaei, Afsaneh +3 more
core +2 more sources
Robust Speech Recognition Using Generative Adversarial Networks
This paper describes a general, scalable, end-to-end framework that uses the generative adversarial network (GAN) objective to enable robust speech recognition.
Gaur, Yashesh +3 more
core +1 more source
Time‐lapse applications of the Marchenko method on the Troll field
Abstract The data‐driven Marchenko method is able to redatum wavefields to arbitrary locations in the subsurface, and can, therefore, be used to isolate zones of specific interest. This creates a new reflection response of the target zone without interference from over‐ or underburden reflectors.
Johno van IJsseldijk +3 more
wiley +1 more source
Inverse filtering of room transfer functions (RTFs) is considered an attractive approach for speech dereverberation given that the time invariance assumption of the used RTFs holds.
Masato Miyoshi +2 more
doaj +2 more sources
Multichannel equalisation for high-order spherical microphone arrays using beamformed channels
High-order spherical microphone arrays offer many practical benefits including relatively fine spatial resolution in all directions and rotation invariant processing using eigenbeams. Spatial filtering can reduce interference from noise and reverberation
Evers, C, Moore, AH, Naylor, PA
core +1 more source

