Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising
TLDR
This paper performs dereverberation and denoising using supervised learning with a deep neural network and defines the complex ideal ratio mask so that direct speech results after the mask is applied to reverberant and noisy speech.Abstract:
In real-world situations, speech is masked by both background noise and reverberation, which negatively affect perceptual quality and intelligibility. In this paper, we address monaural speech separation in reverberant and noisy environments. We perform dereverberation and denoising using supervised learning with a deep neural network. Specifically, we enhance the magnitude and phase by performing separation with an estimate of the complex ideal ratio mask. We define the complex ideal ratio mask so that direct speech results after the mask is applied to reverberant and noisy speech. Our approach is evaluated using simulated and real room impulse responses, and with background noises. The proposed approach improves objective speech quality and intelligibility significantly. Evaluations and comparisons show that it outperforms related methods in many reverberant and noisy environments.read more
Citations
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Journal ArticleDOI
Deep neural network techniques for monaural speech enhancement: state of the art analysis
TL;DR: In this paper , the authors reviewed the dominant trends with regards to DNN application in speech enhancement in speech obtained via a single speaker and reviewed the use of speechenhancement pre-trained models to boost speech enhancement process.
Proceedings ArticleDOI
Joint Noise and Reverberation Adaptive Learning for Robust Speaker DOA Estimation with an Acoustic Vector Sensor.
Disong Wang,Yuexian Zou +1 more
TL;DR: A unified DNN framework for robust DOA estimation task and a speech-aware DNN-SDD, where coherence vectors denoting the probability of time-frequency points dominated by speech signals are used as additional input to facilitate the training to predict complex ideal ratio masks.
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Replay attack detection using variable-frequency resolution phase and magnitude features
TL;DR: A novel feature extraction method that leverages both the phase-based and magnitude-based features and fully utilizes the subband information and the complementary information from the phase and magnitude spectra is proposed.
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Speech enhancement based on noise classification and deep neural network
TL;DR: Deep neural network has recently been successfully adopted as a regression model in speech enhancement and this work presents a new DNN model that can be used as a model for speech enhancement.
Proceedings ArticleDOI
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation
TL;DR: Experimental find-ings indicate that integrating the proposed complex-valued T-F attention (TFA) module with DCCRN improves overall speech quality and performance of back-end speech applications, such as automatic speech recognition, compared to earlier approaches for self-attention.
References
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Proceedings Article
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.
TL;DR: Adaptive subgradient methods as discussed by the authors dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradient-based learning, which allows us to find needles in haystacks in the form of very predictive but rarely seen features.
Journal Article
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
TL;DR: This work describes and analyze an apparatus for adaptively modifying the proximal function, which significantly simplifies setting a learning rate and results in regret guarantees that are provably as good as the best proximal functions that can be chosen in hindsight.
Journal ArticleDOI
Multitask Learning
TL;DR: Multi-task Learning (MTL) as mentioned in this paper is an approach to inductive transfer that improves generalization by using the domain information contained in the training signals of related tasks as an inductive bias.
Journal ArticleDOI
Image method for efficiently simulating small‐room acoustics
Jont B. Allen,David A. Berkley +1 more
TL;DR: The theoretical and practical use of image techniques for simulating the impulse response between two points in a small rectangular room, when convolved with any desired input signal, simulates room reverberation of the input signal.
Journal ArticleDOI
Perceptual linear predictive (PLP) analysis of speech
TL;DR: A new technique for the analysis of speech, the perceptual linear predictive (PLP) technique, which uses three concepts from the psychophysics of hearing to derive an estimate of the auditory spectrum, and yields a low-dimensional representation of speech.