Results 41 to 50 of about 7,706,916 (368)
Speech translation enhanced automatic speech recognition [PDF]
Nowadays official documents have to be made available in many languages, like for example in the EU with its 20 official languages. Therefore, the need for effective tools to aid the multitude of human translators in their work becomes easily apparent.
Paulik, Matthias+5 more
openaire +3 more sources
Speech enhancement is an important preprocessing step in a wide diversity of practical fields related to speech signals, and many signal‐processing methods have already been proposed for speech enhancement.
Yangjie Wei+3 more
doaj +1 more source
The Minimum Overlap-Gap Algorithm for Speech Enhancement
In this paper, we propose a novel speech enhancement paradigm which can effectively solve the problem of retrieving a desired speech signal in a multi-talker environment. The proposed speech enhancement paradigm involves a three-step procedure consisting
Poul Hoang+3 more
doaj +1 more source
DPT-FSNet: Dual-Path Transformer Based Full-Band and Sub-Band Fusion Network for Speech Enhancement [PDF]
Sub-band models have achieved promising results due to their ability to model local patterns in the spectrogram. Some studies further improve the performance by fusing sub-band and full-band information.
Feng Dang, Hangting Chen, Pengyuan Zhang
semanticscholar +1 more source
Multi‐stage attention network for monaural speech enhancement
Although current attention‐based speech enhancement methods have been proven to be capable of significantly improving the noise reduction performance, a bottleneck has arisen in juggling both detailed features and high‐level features: The more attention ...
Kunpeng Wang+4 more
doaj +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
wiley +1 more source
Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
core +2 more sources
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering
Speech enhancement has been extensively studied and applied in the fields of automatic speech recognition (ASR), speaker recognition, etc. With the advances of deep learning, attempts to apply Deep Neural Networks (DNN) to speech enhancement have ...
Shaoxiong Lin+2 more
doaj +1 more source
Abstract Background Ultrasonography (US) and 99mTechnetium‐sestamibi scintigraphy (99mTc‐MIBI) are currently first‐line imaging modalities to localize parathyroid adenomas with sensitivities of 80% and 84%, respectively. Therefore, finding other modalities to further improve the diagnostic accuracy for preoperative localization is critically needed ...
Fangyi Liu+7 more
wiley +1 more source