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large vocabulary word recognition

A large vocabulary continuous speech recognition system for Persian language

A large vocabulary continuous speech recognition system for Persian language

... Persian uses the same alphabet as Arabic with four additional letters. Therefore, the number of letters in the Persian alphabet is 32 as compared to 28 in Arabic. Each additional Persian letter represents a phoneme not ...

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A large vocabulary semantic network for computerised speech recognition

A large vocabulary semantic network for computerised speech recognition

... The use of pattern matching rules can be also used to identify a number of certain relations by analysing the regularities of these patterns. For example, for the 'purpose' relation, recurring patterns such as 'used ...

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Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition

Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition

... The PVD includes both context-independent and context-dependent phone changes. Since each word is treated individually, the phonetic context being considered is limited to within the word. To deal with ...

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A Generic, Scalable Architecture for a Large Acoustic Model and Large Vocabulary Speech Recognition Accelerator.

A Generic, Scalable Architecture for a Large Acoustic Model and Large Vocabulary Speech Recognition Accelerator.

... the recognition accuracy, even if the language model in the second decode pass was a sophisticated trigram ...the word dependent N-best algorithm which is well suited for use with a unigram/bigram language ...

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Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.

Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.

... triphone HMMs. All the words in the dictionary are entered in the lexical tree. A Lexical (phonetic prefix) tree is a root tree with each node representing a chain of triphones. The search network is built using nodes ...

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The Design  Of An Albanian Large Vocabulary Continuous Speech Recognition System

The Design Of An Albanian Large Vocabulary Continuous Speech Recognition System

... every word to a sequence of sound units, to derive the sequence of sound units associated with each ...sub- word units), and another in which non-speech sounds are mapped to corresponding non speech or ...

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Hardware Implementation of a Low Power Speech Recognition System

Hardware Implementation of a Low Power Speech Recognition System

... of word endings, and easier to transition in between ...a large amount of memory and also led to many redundant ...different word histories ...Thus word-to-word transitions become a ...

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Learning Sub Word Units for Open Vocabulary Speech Recognition

Learning Sub Word Units for Open Vocabulary Speech Recognition

... Large vocabulary speech recognition systems fail to recognize words beyond their vocab- ulary, many of which are information rich terms, like named entities or foreign ...Hybrid ...

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An Empirical Study of Word Error Minimization Approaches for Mandarin Large Vocabulary Continuous Speech Recognition

An Empirical Study of Word Error Minimization Approaches for Mandarin Large Vocabulary Continuous Speech Recognition

... hypothesized word sequences was first generated from the word ...hypothesized word sequences included in the N-best list to 50, and the Levenshtein distance was calculated in terms of character ...

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Large Vocabulary Continuous Speech Recognition for Bulgarian

Large Vocabulary Continuous Speech Recognition for Bulgarian

... The Recognition model has to provide a mapping be- tween an audio signal represented as a sequence of feature vectors and the sequence of the pronounced ...the word boundaries and the ho- mophony ...the ...

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Using sub word n gram models for dealing with OOV in large vocabulary speech recognition for Latvian

Using sub word n gram models for dealing with OOV in large vocabulary speech recognition for Latvian

... reduces vocabulary size, but can introduce other ...using word decomposition and sub-word based language models (LM) for dealing with OOV in inflective languages such as Arabic (El-Desoky et ...

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Improving American Sign Language Recognition with Synthetic Data

Improving American Sign Language Recognition with Synthetic Data

... to-sequence fashion. In particular, the following studies are similar to our work on the aspect of augmenting training data to improve the perfor- mance of CNN models. Molchanov et al. (2015) experimented with the ...

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Individual and Intra-Individual Differences in Interest during Instrumental Music Classes in Suburban High Schools

Individual and Intra-Individual Differences in Interest during Instrumental Music Classes in Suburban High Schools

... Beyond these early efforts, the National Institute of Child Health and Human Development (NICHHD) conducted research beginning in the 1960s to find out why America’s children struggle to read. Specifically, they sought ...

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The Word Within the Word Vocabulary Homework

The Word Within the Word Vocabulary Homework

... You might think that excoriate is a combination of ex, cor, and ate, but it isn’t so. The cor in excoriate actually has a very different derivation and only happens to have the same spelling as the cor that we have ...

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The Self Calibration Method for Multiple Systems at the CHARA Array

The Self Calibration Method for Multiple Systems at the CHARA Array

... WJ Word Attack subtest, WJ Fluency subtest, PPVT, ...first word reading item which does not have letter identification items following it, and is at the ...WJ Word Attack and Fluency ...

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Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes

Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes

... There has been several attempts to improve the scalability of decipherment methods, which are however not applicable to 100k-vocabulary trans- lation scenarios. For EM-based decipherment, Nuhn et al. (2012) and ...

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Large Vocabulary Recognition of Wall Street Journal Sentences at Dragon Systems

Large Vocabulary Recognition of Wall Street Journal Sentences at Dragon Systems

... Large Vocabulary Recognition of Wall Street Journal Sentences at Dragon Systems Large V o c a b u l a r y R e c o g n i t i o n o f Wall S t r e e t J o u r n a l S e n t e n c e s at D r a g o n S y[.] ...

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Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition

Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition

... Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Steve Lowe[.] ...

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The Effect of Training in Word Recognition on Intermediate EFL Learners’ L2 Reading Comprehension Ability

The Effect of Training in Word Recognition on Intermediate EFL Learners’ L2 Reading Comprehension Ability

... the vocabulary we use when we write or speak” (Kamil & Hiebert, 2005, ...a vocabulary into three sets of questions concerning the word form, meaning and ...

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