Results 21 to 30 of about 31,514 (254)
Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s).
Naveen Kumar Desiraju +2 more
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The Minimum Overlap-Gap Algorithm for Speech Enhancement
In this paper, we propose a novel speech enhancement paradigm which can effectively solve the problem of retrieving a desired speech signal in a multi-talker environment. The proposed speech enhancement paradigm involves a three-step procedure consisting
Poul Hoang +3 more
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Vocal Pitch Discrimination in Children with and without Vocal Fold Nodules
Vocal pitch discrimination abilities were compared in sixteen children with vocal fold nodules (CwVN) and sixteen matched controls with typical voices (CwTV).
Elizabeth S. Heller Murray +4 more
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Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering
Speech enhancement has been extensively studied and applied in the fields of automatic speech recognition (ASR), speaker recognition, etc. With the advances of deep learning, attempts to apply Deep Neural Networks (DNN) to speech enhancement have ...
Shaoxiong Lin +2 more
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Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans.
Nasir Saleem +2 more
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Causal Speech Enhancement Model Based on Deep Neural Network [PDF]
The traditional speech enhancement method based on Deep Neural Network (DNN) has a fixed delay in processing due to its non-causal input,which is unsuitable for the real-time applications.To solve this problem,studying from the perspective of network ...
YUAN Wenhao, LIANG Chunyan, XIA Bin
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Speech Perception Improvement Algorithm Based on a Dual-Path Long Short-Term Memory Network
Current deep learning-based speech enhancement methods focus on enhancing the time–frequency representation of the signal. However, conventional methods can lead to speech damage due to resolution mismatch problems that emphasize only specific ...
Hyeong Il Koh +2 more
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Disentangled Feature Learning for Noise-Invariant Speech Enhancement
Most of the recently proposed deep learning-based speech enhancement techniques have focused on designing the neural network architectures as a black box.
Soo Hyun Bae, Inkyu Choi, Nam Soo Kim
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A deep learning speech enhancement algorithm based on dynamic hybrid feature and adaptive mask and DSP implementation is proposed in this paper, which solves the problem of feature loss and improves the performance of speech enhancement.
Jie Yang, Yachun Tang
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Incoherent Discriminative Dictionary Learning for Speech Enhancement
Speech enhancement is one of the many challenging tasks in signal processing, especially in the case of nonstationary speech-like noise. In this paper a new incoherent discriminative dictionary learning algorithm is proposed to model both speech and ...
Dima Shaheen +2 more
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