Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation [PDF]
SensorsDeep learning has revolutionized speech enhancement, enabling impressive high-quality noise reduction and dereverberation. However, state-of-the-art methods often demand substantial computational resources, hindering their deployment on edge devices and ...
Tomer Rosenbaum +3 more
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Late Reverberant Spectral Variance Estimation for Single-Channel Dereverberation Using Adaptive Parameter Estimator [PDF]
Applied Sciences, 2021 The estimation of the late reverberant spectral variance (LRSV) is of paramount importance in most reverberation suppression algorithms. This letter proposes an improved single-channel LRSV estimator based on Habets LRSV estimator by using an adaptive ...
Zhaoqi Zhang, Xuelei Feng, Yong Shen
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Deep Learning-Based Estimation of Reverberant Environment for Audio Data Augmentation [PDF]
Sensors, 2022 This paper proposes an audio data augmentation method based on deep learning in order to improve the performance of dereverberation. Conventionally, audio data are augmented using a room impulse response, which is artificially generated by some methods ...
Deokgyu Yun, Seung Ho Choi
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On the importance of power compression and phase estimation in monaural speech dereverberation [PDF]
JASA Express Letters, 2021 Previous studies have shown the importance of introducing power compression on both feature and target when only the magnitude is considered in the dereverberation task.
Andong Li +3 more
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Joint Optimization of Deep Neural Network-Based Dereverberation and Beamforming for Sound Event Detection in Multi-Channel Environments [PDF]
Sensors, 2020 In this paper, we propose joint optimization of deep neural network (DNN)-supported dereverberation and beamforming for the convolutional recurrent neural network (CRNN)-based sound event detection (SED) in multi-channel environments.
Kyoungjin Noh, Joon-Hyuk Chang
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Cortical adaptation to sound reverberation [PDF]
eLife, 2022 In almost every natural environment, sounds are reflected by nearby objects, producing many delayed and distorted copies of the original sound, known as reverberation.
Aleksandar Z Ivanov +4 more
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Dereverberation by Using Time-Variant Nature of Speech Production System [PDF]
EURASIP Journal on Advances in Signal Processing, 2007 This paper addresses the problem of blind speech dereverberation by inverse filtering of a room acoustic system. Since a speech signal can be modeled as being generated by a speech production system driven by an innovations process, a reverberant signal
Yoshioka Takuya +2 more
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A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality [PDF]
SensorsThis paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments.
Alon Nemirovsky +2 more
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Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation [PDF]
Interspeech, 2023 In this paper, we present a scheme for extending deep neural network-based multiplicative maskers to deep subband filters for speech restoration in the time-frequency domain.
Jean-Marie Lemercier +2 more
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EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation [PDF]
InterspeechWe release the EARS (Expressive Anechoic Recordings of Speech) dataset, a high-quality speech dataset comprising 107 speakers from diverse backgrounds, totaling in 100 hours of clean, anechoic speech data.
Julius Richter +7 more
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