Results 11 to 20 of about 135,797 (305)

Improving CTC-AED model with integrated-CTC and auxiliary loss regularization [PDF]

CoRR, 2023
Connectionist temporal classification (CTC) and attention-based encoder decoder (AED) joint training has been widely applied in automatic speech recognition (ASR). Unlike most hybrid models that separately calculate the CTC and AED losses, our proposed integrated-CTC utilizes the attention mechanism of AED to guide the output of CTC.
Daobin Zhu, Xiangdong Su, Hongbin Zhang 0003   +2 more
core   +4 more sources

KNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels [PDF]

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
The success of retrieval-augmented language models in various natural language processing (NLP) tasks has been constrained in automatic speech recognition (ASR) applications due to challenges in constructing fine-grained audio-text datastores. This paper presents kNN-CTC, a novel approach that overcomes these challenges by leveraging Connectionist ...
Jiaming Zhou 0001, Shiwan Zhao, Yaqi Liu, Wenjia Zeng, Yong Chen, Yong Qin   +5 more
core   +5 more sources

Improving Hybrid CTC/Attention Architecture with Time-Restricted Self-Attention CTC for End-to-End Speech Recognition

Applied Sciences, 2019
As demonstrated in hybrid connectionist temporal classification (CTC)/Attention architecture, joint training with a CTC objective is very effective to solve the misalignment problem existing in the attention-based end-to-end automatic speech recognition (
Long Wu, Ta Li, Li Wang, Yonghong Yan
doaj   +2 more sources

Bridging the gap: a genetically validated avian chorioallantoic membrane platform for investigation of spontaneous circulating tumor cells. [PDF]

Mol Oncol
We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Roth D, Neves RPL, Geheb J, Ballmeyer C, Gaßmann N, Andree KC, Sudarsanam M, Driemel C, Örencik C, Franken A, Elmaghraby E, Loosen SH, Christoph R, Schoelch S, Neubauer H, Knoefel WT, Stoecklein NH, Fluegen G.   +17 more
europepmc   +2 more sources

SNSF Career Tracker Cohorts (CTC) Newsletter 2022/1 [PDF]

, 2022
This newsletter shows the first results of a longitudinal analysis of the CTC-18 cohort, which consists of people who applied for Early Postdoc.Mobility and Postdoc.Mobility in fall 2018.
Zimmermann, B., Kittelberger, S., Erzinger, A. B., Lüthi, J., Erzinger, A.B.   +4 more
core   +5 more sources

CTC Variations Through New WFST Topologies [PDF]

, 2022
This paper presents novel Weighted Finite-State Transducer (WFST) topologies to implement Connectionist Temporal Classification (CTC)-like algorithms for automatic speech recognition.
Laptev, Aleksandr, Ginsburg, Boris, Majumdar, Somshubra   +2 more
core   +1 more source

Magnetic Particles for CTC Enrichment [PDF]

Cancers, 2020
Here, we review the characteristics and synthesis of magnetic nanoparticles (MNPs) and place these in the context of their usage in the immunomagnetic enrichment of Circulating Tumor Cells (CTCs). The importance of the different characteristics is explained, the need for a very specific enrichment is emphasized and different (commercial) magnetic ...
Peng Liu, Pascal Jonkheijm, Leon W. M. M. Terstappen, Michiel Stevens   +3 more
openaire   +3 more sources

CTC-5: A novel digital pathology approach to characterise circulating tumour cell biodiversity

, 2023
Metastatic progression and tumor evolution complicates the clinical management of cancer patients. Circulating tumor cell (CTC) characterization is a growing discipline that aims to elucidate tumor metastasis and evolution processes.
O'Riain, C., Brooks, R.D., S A O'Toole (14607052), Ffrench, B., Kashdan, E., C D Spillane (14607031), Scholz, D., Leonie Young (7895759), Varešlija, D., Brooks, D.A., Gallagher, M., W Kamran (14607050), O'Toole, S.A., Young, L., Y Huang (5107763), Charmsaz, S., AbuSaadeh, F., C Martin (7772414), J J O'Leary (14607053), Gleeson, N., M Gallagher (13424349), C O'Brien (7805933), Selemidis, S., Sinead Cocchiglia (8484729), Cocchiglia, S., Flavin, R., S Selemidis (9630146), Huang, Y., O'Leary, J.J., B Ffrench (14580358), N Gleeson (14320311), O'Brien, C., C O'Riain (14320245), Kamran, W., E Kashdan (14607028), Damir Vareslija (7895321), Martin, C., D A Brooks (13351527), R Flavin (11499493), R D Brooks (14607045), Spillane, C.D., Sara Charmsaz (7896116), F AbuSaadeh (14607047), D Scholz (14607043), C. Martin, Spillane, C D, D. Scholz, J.J. O'Leary, Scholz, D, Martin, C, W. Kamran, Flavin, R, F. AbuSaadeh, Ffrench, B, Brooks, R D, Selemidis, S, D.A. Brooks, Kamran, W, O'Leary, J J, Gallagher, M, B. Ffrench, R. Flavin, N. Gleeson, O'Riain, C, S. Cocchiglia, Varešlija, D, S. Charmsaz, Cocchiglia, S, Y. Huang, C. O'Brien, AbuSaadeh, F, Charmsaz, S, S. Selemidis, C.D. Spillane, Brooks, D A, L. Young, Gleeson, N, Young, L, M. Gallagher, Kashdan, E, D. Varešlija, S.A. O'Toole, Huang, Y, R.D. Brooks, O'Toole, S A, E. Kashdan, C. O'Riain, O'Brien, C   +87 more
core   +1 more source

Computation with Narrow CTCs [PDF]

, 2011
We examine some variants of computation with closed timelike curves (CTCs), where various restrictions are imposed on the memory of the computer, and the information carrying capacity and range of the CTC. We give full characterizations of the classes of languages recognized by polynomial time probabilistic and quantum computers that can send a single ...
A. C. Cem Say, Abuzer Yakaryilmaz
openaire   +3 more sources

LV-CTC: Non-Autoregressive ASR With CTC and Latent Variable Models

2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023
Non-autoregressive (NAR) models for automatic speech recognition (ASR) aim to achieve high accuracy and fast inference by simplifying the autoregressive (AR) generation process of conventional models. Connectionist temporal classification (CTC) is one of the key techniques used in NAR ASR models.
Yuya Fujita, Shinji Watanabe 0001, Xuankai Chang, Takashi Maekaku   +3 more
openaire   +2 more sources