نتایج جستجو برای: word recognition in noise
تعداد نتایج: 17058235 فیلتر نتایج به سال:
Segmental and fixed-frame signal representations were compared in different noise conditions in a weakly supervised word recognition task using a non-negative matrix factorization (NMF) framework. The experiments show that fixed-frame windowing results in better recognition rates with clean signals. When noise is introduced to the system, robustness of segmental signal representations becomes u...
the major aim of this study was to investigate the relationship between social and cultural capital and efl students’ critical thinking skills. this study takes this relationship in to account to see if people with different sociocultural status are different regarding their critical thinking skills. to this end, 160 university students majoring in english language and literature, english trans...
Item noise models of recognition assert that interference at retrieval is generated by the words from the study list. Context noise models of recognition assert that interference at retrieval is generated by the contexts in which the test word has appeared. The authors introduce the bind cue decide model of episodic memory, a Bayesian context noise model, and demonstrate how it can account for ...
In this paper, the isolated word recognition using very simple recurrent neural network plus (VSRN+) and noise compensation linear predictive coding (LPC) analysis is proposed. In the proposed system, a feature extraction based on noise compensation LPC analysis achieves accurate speech feature vector in noisy environment. Since VSRN+ is utilized as a recognizer, the proposed system is able to ...
This paper presented a two step method for offline handwritten Farsi word recognition. In first step, in order to improve the recognition accuracy and speed, an algorithm proposed for initial eliminating lexicon entries unlikely to match the input image. For lexicon reduction, the words of lexicon are clustered using ISOCLUS and Hierarchal clustering algorithm. Clustering is based on the featur...
Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years. This paper considers the recognition of emotional states via speech in real environments. For this task, we employ the power normalized cepstral coefficients (PNCC) in a speech emotion recognition system. We investigate its perfor...
conclusions monaural and binaural recognition of words and digits-in-noise are impaired in ld children with dichotic listening deficit. it seems that bdsd children show an inter-aural asymmetry in recognition of words-in-noise with poorer performance in the right ear. background previous studies have reported the weakness of recognition of speech-in-noise and dichotic listening deficit in learn...
This paper deals with the impact of a signal enhancement method on speech recognition confidence scores, in the presence of noise. The speech recognition confidence score reflects the reliability of correctness of the recogniser’s output. This is important since errors in the presence of noise are more frequent and tend to make applications, such as spoken dialogue systems, too cumbersome to us...
We consider the problem of recognition of a printed word belonging to a limited dictionary. The main difficulty comes from the fact that this word can be printed using different fonts, sizes, and positions on the page. Invariant moment methods for word recognition developed by Hu [5] and Li [6] are unreliable when the quality of the word image is degraded by noise. In this paper we investigate ...
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