Results 91 to 100 of about 926 (186)
Blind Convolutive Speech Separation and Dereverberation.
, 2020 Extraction of a target speech signal from the convolutive mixture of multiple sources observed in a cocktail party environment is a challenging task, especially when the room acoustic effects and background noise are present in the environment.
Jan, Traiqullah.
core
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2021 Wang ZQ, Wang P, Wang D.
europepmc +1 more source
Blind dereverberation of single-channel speech signals using an ICA-based generative model
, 2004 In this paper, an adaptive blind dereverberation method based on speech generative model is presented. Our ICA-based speech generative model can decompose speeches into independent sources.
Lee, JH, Lee, Soo-Young, Oh, SH
core
Blind convolutive speech separation and dereverberation
, 2012 Extraction of a target speech signal from the convolutive mixture of multiple sources observed in a cocktail party environment is a challenging task, especially when the room acoustic effects and background noise are present in the environment.
Jan, Tariqullah
core
Dereverberation and acoustic beamforming is used to capture the speech of a desired speaker in the presence of interfering speakers in a reverberant room using an array of microphones.
George, Nithin V., Yadav, Shekhar Kumar
core +1 more source
DSENet: Directional Signal Extraction Network for Hearing Improvement on Edge Devices. [PDF]
IEEE Access, 2023 Kovalyov A, Patel K, Panahi I.
europepmc +1 more source
Speech dereverberation constrained on room impulse response characteristics
International audienceSingle-channel speech dereverberation aims at extracting a dry speech signal from a recording affected by the acoustic reflections in a room.
Fontaine, Mathieu +3 more
core +2 more sources
F 0 Estimation and Voicing Detection With Cascade Architecture in Noisy Speech. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2023 Zhang Y, Wang H, Wang D.
europepmc +1 more source
Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods. [PDF]
Trends Hear, 2023 Zheng C +6 more
europepmc +1 more source
Cepstral Weighting for Speech Dereverberation Without Musical Noise
, 2011 We present an effective way to reduce musical noise in binaural speech dereverberation algorithms based on an instantaneous weighting of the cepstrum. We propose this instantaneous technique, as temporal smoothing techniques result ina smearing of the ...
Gerkmann, Timo,
core