Results 11 to 20 of about 1,913 (199)

Multichannel CRNN for Speaker Counting: an Analysis of Performance [PDF]

, 2021
Speaker counting is the task of estimating the number of people that are simultaneously speaking in an audio recording. For several audio processing tasks such as speaker diarization, separation, localization and tracking, knowing the number of speakers at each timestep is a prerequisite, or at least it can be a strong advantage, in addition to ...
Grumiaux, Pierre-Amaury, Kitic, Srdan, Girin, Laurent, Guérin, Alexandre   +3 more
openaire   +3 more sources

Existence and Learning of Teaching Network for CRNN

International Journal of Computer Applications, 2011
Existence and Learning of Teaching Network for Complex Recurrent Neural Network (CRNN) has been discussed in this piece of research. Issues related to the quaternionic neural network have been taken into consideration. In this paper by considering the special class of CRNN for which existence of attractive periodic solution in teaching network has been
Avanish Kumar, Neeraj Sahu
openaire   +2 more sources

CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection [PDF]

Remote Sensing, 2023
Hyperspectral anomaly detection aims to separate anomalies and backgrounds without prior knowledge. The collaborative representation (CR)-based hyperspectral anomaly detection methods have gained significant interest and development because of their interpretability and high detection rate.
Yuxiao Duan, Tongbin Ouyang, Jinshen Wang   +2 more
openaire   +3 more sources

Analog Document Search Using CRNN and Keyphrase Extraction [PDF]

International Journal of Image, Graphics and Signal Processing, 2021
Lokeshwar S, Vadiraja Rao M. K, Sujay Kumar P. S, Vishveshwara Guthal Gowda, Hemavathi P.   +4 more
openaire   +2 more sources

Identification of emitting times based on improved CRNN model [PDF]

Journal of Physics: Conference Series
Abstract The number of times that equipment can emit is limited, and exceeding the usage limit will affect its shooting accuracy. Existing research mainly focuses on the classification and detection of emitting times, with few studies focusing on the recognition of emitting times.
Cuiping Liang, Yang Li, Yuyun Wei, Dan Zhang, Ying Wang, Suiping Jiang   +5 more
openaire   +2 more sources

Convolutional recurrent U-net for cardiac cine MRI reconstruction via effective spatio-temporal feature exploitation. [PDF]

Med Phys
Abstract Background Cardiac Cine Magnetic Resonance Imaging (MRI) provides dynamic visualization of the heart's structure and function but is hindered by slow acquisition, requiring repeated breath‐holds that challenge sick patients. Accelerated imaging can mitigate these issues but potentially reduce spatial and temporal resolution.
Lyu D, Staring M, van Osch MJP, Doneva M, Lamb HJ, Pezzotti N.   +5 more
europepmc   +2 more sources

Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies. [PDF]

J Magn Reson Imaging
ABSTRACT Background Transrectal in‐bore MR‐guided biopsy (MRGB) is accurate but time‐consuming, limiting clinical throughput. Faster imaging could improve workflow and enable real‐time instrument tracking. Existing acceleration methods often use simulated data and lack validation in clinical settings.
Noordman CR, Te Molder LPW, Maas MC, Overduin CG, Fütterer JJ, Huisman HJ.   +5 more
europepmc   +2 more sources

Towards Wearable Respiration Monitoring: 1D-CRNN-Based Breathing Detection in Smart Textiles. [PDF]

Sensors (Basel)
Steinmetzer T, Michel S.
europepmc   +2 more sources

Bird Species Prediction Based on Voice Using CRNN

International Journal for Research in Applied Science and Engineering Technology
Abstract: Bird species recognition through sound is a crucial tool for biodiversity monitoring, enabling non-invasive, scalable insights into avian populations and their habitats. This project aims to develop a machine learning-based bird sound recognition system that identifies bird species from audio.
Ashish Kumar Pandey
openaire   +2 more sources

Comparative Transcriptomics Reveals a Dual Role of the Epidermal Differentiation Complex in the Skin and the Oesophagus. [PDF]

Exp Dermatol
ABSTRACT The epidermal differentiation complex (EDC) is a cluster of genes implicated in the control of the skin barrier. However, some EDC genes are also expressed at high levels in the human oesophagus. To determine whether the expression of EDC genes in the oesophagus is evolutionarily conserved, we performed comparative transcriptomic analyses of ...
Sachslehner AP, Lachner J, Mlitz V, Golabi B, Hess C, Sipos W, Eckhart L.   +6 more
europepmc   +2 more sources