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10/24/2022
Real-time Speech Interruption Analysis: From Cloud to Client Deployment
Meetings are an essential form of communication for all types of organiz...
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04/07/2022
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model
Recently, deep learning (DL)-based non-intrusive speech assessment model...
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03/31/2022
Perceptual Contrast Stretching on Target Feature for Speech Enhancement
Speech enhancement (SE) performance has improved considerably since the ...
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11/10/2021
OSSEM: one-shot speaker adaptive speech enhancement using meta learning
Although deep learning (DL) has achieved notable progress in speech enha...
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11/08/2021
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
Numerous compression and acceleration strategies have achieved outstandi...
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11/03/2021
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
In this study, we propose a cross-domain multi-objective speech assessme...
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10/12/2021
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
Most of the deep learning-based speech enhancement models are learned in...
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06/08/2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit. It is desig...
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04/08/2021
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
The discrepancy between the cost function used for training a speech enh...
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11/09/2020
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model
The calculation of most objective speech intelligibility assessment metr...
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10/28/2020
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement
Speech enhancement (SE) aims to improve speech quality and intelligibili...
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06/18/2020
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing
The Transformer architecture has shown its superior ability than recurre...
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04/02/2020
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning
The intelligibility of natural speech is seriously degraded when exposed...
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11/22/2019
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement
Integrating modalities, such as video signals with speech, has been show...
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09/26/2019
Seeing Voices in Noise: A Study of Audiovisual-Enhanced Vocoded Speech Intelligibility in Cochlear Implant Simulation
Speech perception is a key to verbal communication. For people with hear...
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09/26/2019
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement
The combined electric and acoustic stimulation (EAS) has demonstrated be...
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09/26/2019
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks
In recent years, waveform-mapping-based speech enhancement (SE) methods ...
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05/31/2019
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques
Most recent studies on deep learning based speech enhancement (SE) focus...
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05/13/2019
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Adversarial loss in a conditional generative adversarial network (GAN) i...
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05/06/2019
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
Utilizing a human-perception-related objective function to train a speec...
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04/17/2019
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
Existing objective evaluation metrics for voice conversion (VC) are not ...
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08/17/2018
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)
Numerous studies have investigated the effectiveness of neural network q...
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08/16/2018
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM
Nowadays, most of the objective speech quality assessment tools (e.g., p...
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09/12/2017
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Speech enhancement model is used to map a noisy speech to a clean speech...
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04/27/2017
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
This paper aims to address two issues existing in the current speech enh...
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03/07/2017
