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07/29/2022
Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition
For Mandarin end-to-end (E2E) automatic speech recognition (ASR) tasks, ...
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04/08/2022
Transducer-based language embedding for spoken language identification
The acoustic and linguistic features are important cues for the spoken l...
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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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03/31/2022
Partial Coupling of Optimal Transport for Spoken Language Identification
In order to reduce domain discrepancy to improve the performance of cros...
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03/17/2022
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding
Speaker embedding is an important front-end module to explore discrimina...
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01/24/2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement
In acoustic signal processing, the target signals usually carry semantic...
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11/11/2021
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
This paper presents a novel discriminator-constrained optimal transport ...
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10/26/2021
CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization
Automatic speaker verification (ASV) systems, which determine whether tw...
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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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04/07/2021
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
Generative probability models are widely used for speaker verification (...
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02/07/2021
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System
Synthesized speech from articulatory movements can have real-world use f...
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01/09/2021
Integrating a joint Bayesian generative model in a discriminative learning framework for speaker verification
The task for speaker verification (SV) is to decide an utterance is spok...
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12/24/2020
Unsupervised neural adaptation model based on optimal transport for spoken language identification
Due to the mismatch of statistical distributions of acoustic speech betw...
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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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08/13/2020
Incorporating Broad Phonetic Information for Speech Enhancement
In noisy conditions, knowing speech contents facilitates listeners to mo...
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04/06/2020
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
Due to the simple design pipeline, end-to-end (E2E) neural models for sp...
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01/06/2020
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
Deep learning-based models have greatly advanced the performance of spee...
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12/27/2019
Deep progressive multi-scale attention for acoustic event classification
Convolutional neural network (CNN) is an indispensable building block fo...
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04/30/2019
Incorporating Symbolic Sequential Modeling for Speech Enhancement
In a noisy environment, a lossy speech signal can be automatically resto...
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01/12/2018
Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
Reverberation, which is generally caused by sound reflections from walls...
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01/12/2018
Speech Dereverberation Based on Integrated Deep and Ensemble Learning
Reverberation, which is generally caused by sound reflections from walls...
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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