The present paper investigates the conditions under which different realizations of /R/ occur in standard Austrian German. The study is based on 509 word tokens containing the phone sequence /aR/ in coda position drawn from a corpus of read speech from seven male Austrian radio speakers. Acoustic measurements of the vowel /a/ revealed that F1, F2 and F3 are significant predictors for the realiz...

1. Competing features: AllbnAnyp, hmA, -An; 
 verb-subject word order: AndlEt AlHrb 2. Mixing: >h HDrp, bdy vs hl syHdv 3. Morphology: Alm$kwk fyh 4. Word vs char: AlmAlky, AlhA$my 5. ASR mistakes: byt>vr vs byt>tr 6. Rare features: <HnA wyAhm. But: bqyt common in NA Results • 6/18 in sub-task 2; 2nd to last in sub-task 1 • Spanish most difficult, Malay/Indonesian easiest • Gulf most confusing ...

In this paper, we investigate methods for optimal morphological pattern recognition. The task of optimal pattern recognition is posed as a solution to a hypothesis testing problem. A minimum probability of error decision rule-maximum a posteriori filter-is sought. The classical solution to the minimum probability of error hypothesis testing problem, in the presence of independent and identicall...

This paper presents a novel hybrid method for extracting license plates and recognizing characters from low-quality videos using morphological operations and Adaboost algorithm. First of all, the hybrid method uses the Adaboost algorithm for training a detector to detect license plates. This algorithm works well to detect license plates having lower intensities but fails to detect license plate...

We present in this paper some new and efficient algorithms for the tracing and recognition of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation and r...

A new tightly coupled speech and natural language integration model is presented for a TDNN-based large vocabulary continuous speech recognition system. Unlike the popular n-best techniques developed for integrating mainly HMM-based speech and natural language systems in word level, which is obviously inadequate for the morphologically complex agglutinative languages, our model constructs a spo...

Objectives: Designing optical character recognition systems for Kannada is challenging due to higher self-similarity in characters and number of classes. This work addresses the two major problems reduced accuracy false positives characters. Methods: proposes a stage multi modal deep learning technique handle complexity recognition. The are first grouped based on morphological structural simila...

When does morphological decomposition occur in visual word recognition? An increasing body of evidence suggests the presence of early morphological processing. The present work investigates this issue via an orthographic similarity manipulation. Three masked priming lexical decision experiments were conducted to examine the transposed-letter similarity effect (e.g., jugde facilitates JUDGE more...