1 |
Unsupervised word-level prosody tagging for controllable speech synthesis ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Glyph Enhanced Chinese Character Pre-Training for Lexical Sememe Prediction ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Bridging the Communication Gap between Radiographers and Patients to Improve Chest Radiography Image Acquisition: A Multilingual Solution in the COVID-19 Pandemic
|
|
|
|
In: Radiography (Lond) (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Concept Transfer Learning for Adaptive Language Understanding ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Differences in Oral Structure and Tissue Interactions during Mouse vs. Human Palatogenesis: Implications for the Translation of Findings from Mice
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Text Flow: A Unified Text Detection System in Natural Scene Images ...
|
|
|
|
Abstract:
The prevalent scene text detection approach follows four sequential steps comprising character candidate detection, false character candidate removal, text line extraction, and text line verification. However, errors occur and accumulate throughout each of these sequential steps which often lead to low detection performance. To address these issues, we propose a unified scene text detection system, namely Text Flow, by utilizing the minimum cost (min-cost) flow network model. With character candidates detected by cascade boosting, the min-cost flow network model integrates the last three sequential steps into a single process which solves the error accumulation problem at both character level and text line level effectively. The proposed technique has been tested on three public datasets, i.e, ICDAR2011 dataset, ICDAR2013 dataset and a multilingual dataset and it outperforms the state-of-the-art methods on all three datasets with much higher recall and F-score. The good performance on the multilingual ... : 9 pages, ICCV 2015 ...
|
|
Keyword:
Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1604.06877 https://arxiv.org/abs/1604.06877
|
|
BASE
|
|
Hide details
|
|
10 |
Women Leaders of Higher Education: Female Executives in Leading Universities in China
|
|
|
|
In: Cross-Cultural Communication; Vol 9, No 6 (2013): Cross-Cultural Communication; 40-45 ; 1923-6700 ; 1712-8358 (2013)
|
|
BASE
|
|
Show details
|
|
13 |
Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis
|
|
|
|
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00746106 ; Speech Communication, Elsevier : North-Holland, 2011, ⟨10.1016/j.specom.2011.03.003⟩ (2011)
|
|
BASE
|
|
Show details
|
|
19 |
RECOGNITION OF SYLLABLE-CONTRACTED WORDS IN SPONTANEOUS SPEECH USING WORD EXPANSION AND DURATION INFORMATION
|
|
|
|
In: http://isca-speech.org/archive_open/archive_papers/iscslp2008/225.pdf
|
|
BASE
|
|
Show details
|
|
|
|