automatic target recognition
Saliency Attention and SIFT Keypoints Combination for Automatic Target Recognition on MSTAR dataset
... Keywords—Automatic target recognition, synthetic aperture radar, SIFT, saliency attention model, matching ...NTRODUCTION Automatic target recognition (ATR) using Synthetic aper- ...
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Automatic target recognition using passive bistatic radar signals
... 8.11.3 Recognition results for the three-class experiment ...8.11.4 Recognition results for all four recognition experiments ...the recognition of air targets by using their bistatic radar ...
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Automatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic
... Automatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic Jonathan Pisane (1,2), Sylvain Azarian (2), Marc Lesturgie (2), ...
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Characterization of deep neural network feature space for inverse synthetic aperture radar automatic target recognition
... improve target classification rates because machine learning can leverage large amounts of labeled ...for automatic target recognition has gained interest in the past few years due to the ...
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Automatic target recognition in SAR images using multilinear analysis
... 2 avenue Gay Lussac, 78990 Elancourt, France Emails: porges@i3s.unice.fr, favier@i3s.unice.fr ABSTRACT Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images ...
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Online Radar Target Recognition with Decoys
... Target recognition, especially automatic target recognition without human help, is very chal- lenging since a radar provides only limited feedback regarding the ...
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Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models
... the automatic age group classification experiments, only contained the longest utter- ance types because very short utterances are difficult to accurately estimate age (and other speaker characteristics) ...
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Automatic data-driven real-time segmentation and recognition of surgical workflow
... the date of receipt and acceptance should be inserted later Abstract Purpose With the intention of extending the perception and action of surgical staff inside the operating room, the medical community has expressed a ...
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Analysis and modeling of non-native speech for automatic speech recognition
... Since we only have manual word transcriptions for the utterances in the corpus, we create forced phonetic transcriptions or forced paths: We begin with a set of exi[r] ...
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Cued Speech Automatic Recognition in Normal Hearing and Deaf Subjects
... During the recording of Cued Speech material for isolated word recognition experiments, the conditions were different from the ones described earlier. The system was improved by excluding the use of a helmet by ...
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Emotion facial recognition by the means of automatic video analysis
... International Bank for Reconstruction and Development / The World Bank; 2006. Chapter 44. 4. Bilinski P, and Bremond F.. "Video covariance matrix logarithm for human action recognition in videos." In IJCAI ...
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Automatic Speech Recognition for African Languages with Vowel Length Contrast
... This paper is organized as following. In Section 2, we summarize the works done in automatic speech recognition for under-resourced languages and mention some studies dedicated to vowel length contrast ...
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Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts
... There is a lot of research on confidence meas- ures for identifying errors in speech recognition output. Most papers on this topic use information that is internal to the ASR system, generated by the decoder ...
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Automatic phases recognition in pituitary surgeries by microscope images classification
... The correct classification rate includes the results of the cross-validation study for the six phases. From these results, we noticed frequent confusions mainly between phase n°3 and n°4, and also between n°1 and n°5. ...
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Dynamic adjustment of language models for automatic speech recognition using word similarity
... 5. CONCLUSIONS In this work, we set out to explore ways of improving the recognition of OOVs in an ASR system by adding OOVs to the language model. This was done by dynamically updat- ing the LM without retraining ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
... of recognition, however, the parallel architecture has on average a ...and recognition tasks, except for the asym- metric case (line 12), the at-self and at-source with sum merging configuration (line 17), ...
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Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition
... Universit´e de Lorraine, CNRS, Inria, LORIA F-54000 Nancy, France {sunit.sivasankaran,evincent}@inria.fr, dfohr@loria.fr Abstract—We investigate the effect of speaker localization on the performance of speech ...
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Automatic vocal recognition of a child's perceived emotional state within the Speechome corpus
... Due to the latent nature of emotion, we sought objective, directly measurable correlates of the child's perceived emotional state within the Speechome corpus, focusing exclusive[r] ...
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HMM-based Vowel and Consonant Automatic Recognition in Cued Speech for French
... Fig. 1. Hands positions for vowels (top) and handshapes (bottom) for consonants in Cued French language. consonant phonemes whereas hand positions distinguish vowel phonemes. A handshape together with a hand position cue ...
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Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models
... 4.2 Experimental Set-Up We carried out ASR experiments on the children’s, young to middle-aged adults’, and elderly people’s speech in our test sets using three different set-ups: 1) Speech recog- nised using the ...
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