research
∙
06/01/2023
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
With fewer feature dimensions, filter banks are often used in light-weig...
share
research
∙
02/20/2023
Personalized speech enhancement combining band-split RNN and speaker attentive module
Target speaker information can be utilized in speech enhancement (SE) mo...
research
∙
02/11/2023
Local spectral attention for full-band speech enhancement
Attention mechanism has been widely utilized in speech enhancement (SE) ...
research
∙
02/11/2023
Attention does not guarantee best performance in speech enhancement
Attention mechanism has been widely utilized in speech enhancement (SE) ...
research
∙
12/21/2022
Learning List-Level Domain-Invariant Representations for Ranking
Domain adaptation aims to transfer the knowledge acquired by models trai...
research
∙
12/20/2022
HYRR: Hybrid Infused Reranking for Passage Retrieval
We present Hybrid Infused Reranking for Passages Retrieval (HYRR), a fra...
research
∙
10/17/2022
Distilling Object Detectors With Global Knowledge
Knowledge distillation learns a lightweight student model that mimics a ...
research
∙
10/12/2022
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Recently, substantial progress has been made in text ranking based on pr...
research
∙
09/23/2022
Promptagator: Few-shot Dense Retrieval From 8 Examples
Much recent research on information retrieval has focused on how to tran...
research
∙
07/22/2022
Inference skipping for more efficient real-time speech enhancement with parallel RNNs
Deep neural network (DNN) based speech enhancement models have attracted...
research
∙
07/04/2022
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation
The recently proposed semi-blind source separation (SBSS) method for non...
research
∙
06/29/2022
A light-weight full-band speech enhancement model
Deep neural network based full-band speech enhancement systems face chal...
research
∙
06/27/2022
A two-stage full-band speech enhancement model with effective spectral compression mapping
The direct expansion of deep neural network (DNN) based wide-band speech...
research
∙
04/25/2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
State-of-the-art neural models typically encode document-query pairs usi...
research
∙
03/16/2022
PMAL: Open Set Recognition via Robust Prototype Mining
Open Set Recognition (OSR) has been an emerging topic. Besides recognizi...
research
∙
01/25/2022
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models ac...
research
∙
12/15/2021
Large Dual Encoders Are Generalizable Retrievers
It has been shown that dual encoders trained on one domain often fail to...
research
∙
07/26/2021
ICDAR 2021 Competition on Scene Video Text Spotting
Scene video text spotting (SVTS) is a very important research topic beca...
research
∙
07/12/2021
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement
The dual-path RNN (DPRNN) was proposed to more effectively model extreme...
research
∙
04/29/2021
Adaptive Partitioning Strategy for High-Dimensional Discrete Simulation-based Optimization Problems
In this paper, we introduce a technique to enhance the computational eff...
research
∙
04/14/2021
On the approximation of queue-length distributions in transportation networks
This paper focuses on the analytical probabilistic modeling of vehicular...
research
∙
10/23/2020
Neural Passage Retrieval with Improved Negative Contrast
In this paper we explore the effects of negative sampling in dual encode...
research
∙
10/02/2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Click-through rate (CTR) prediction is one of the fundamental tasks for ...
research
∙
08/01/2020
Efficient Independent Vector Extraction of Dominant Target Speech
The complete decomposition performed by blind source separation is compu...
research
∙
06/18/2020
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
As one of the largest B2C e-commerce platforms in China, JD.com also pow...
research
∙
05/27/2020
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes ...
research
∙
05/27/2020
Object-QA: Towards High Reliable Object Quality Assessment
In object recognition applications, object images usually appear with di...
research
∙
05/15/2020
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
Acoustic echo cannot be entirely removed by linear adaptive filters due ...
research
∙
07/23/2019
Position Focused Attention Network for Image-Text Matching
Image-text matching tasks have recently attracted a lot of attention in ...
research
∙
06/17/2019
Assessing the Quality of the Steps to Reproduce in Bug Reports
A major problem with user-written bug reports, indicated by developers a...
research
∙
04/14/2019
A robust DOA estimation method for a linear microphone array under reverberant and noisy environments
A robust method for linear array is proposed to address the difficulty o...
research
∙
03/08/2019
Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
This paper proposes an unified framework for efficiently spotting scene ...
research
∙
08/25/2018
Efficient improvement of frequency-domain Kalman filter
The frequency-domain Kalman filter (FKF) has been utilized in many audio...
research
∙
02/25/2018
Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals
The TRINICON ('Triple-N ICA for convolutive mixtures') framework is an e...
research
∙
02/25/2018
Multi-channel Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker
Adaptive algorithm based on multi-channel linear prediction is an effect...
research
∙
02/08/2018
Online Learning: A Comprehensive Survey
Online learning represents an important family of machine learning algor...
research
∙
10/28/2016
SOL: A Library for Scalable Online Learning Algorithms
SOL is an open-source library for scalable online learning algorithms, a...
research
∙
02/09/2016
