24 citations · 112 across the 18 of their papers we have counts for
7 papers · 1 filter
Speech-Image Semantic Alignment Does Not Depend on Any Prior Classification Tasks
Masood S. Mortazavi
Semantically-aligned datasets can be used to explore "visually-grounded speech". In a majority of existing investigations, features of an image signal are extract…
Semi-Blind Source Separation for Nonlinear Acoustic Echo Cancellation
Guoliang Cheng, Lele Liao, Hongsheng Chen +1
The mismatch between the numerical and actual nonlinear models is a challenge to nonlinear acoustic echo cancellation (NAEC) when the nonlinear adaptive filter is utilized. To alle…
improving partition-block-based acoustic echo canceler in under-modeling scenarios
Wenzhi Fan, Jing Lu
Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) has been proposed for acoustic echo cancellation. Compared with the normal frequency-domain Kalman filter,…
Efficient Independent Vector Extraction of Dominant Target Speech
Lele Liao, Zhaoyi Gu, Jing Lu
The complete decomposition performed by blind source separation is computationally demanding and superfluous when only the speech of one specific target speaker is desired. In this…
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
Hongsheng Chen, Teng Xiang, Kai Chen +1
Acoustic echo cannot be entirely removed by linear adaptive filters due to the nonlinear relationship between the echo and far-end signal. Usually a post processing module is requi…
Target Speech Extraction Based on Blind Source Separation and X-vector-based Speaker Selection Trained with Data Augmentation
Zhaoyi Gu, Lele Liao, Kai Chen +1
Extracting the desired speech from a mixture is a meaningful and challenging task. The end-to-end DNN-based methods, though attractive, face the problem of generalization. In this…