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large vocabulary name recognition

Large Vocabulary Continuous Speech Recognition for Bulgarian

Large Vocabulary Continuous Speech Recognition for Bulgarian

... speech recognition can be considered as the task to nd the set of possible word sequences which sound close to the observed speech signal and are admissible according to a given language ...The recognition ...

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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

... The paper describe explicitly the steps in designing an ASR from zero. It presents the problems encountered when gathering resources for building a speech database. After the required resources are described, together ...

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Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A STAR Project

Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A STAR Project

... a large vocabulary continuous speech recog- nition (LVCSR) system for the Indonesian language within the Asian speech transla- tion (A-STAR) ...speech recognition engine was trained using the clean ...

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Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish

Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish

... This paper presents results for large vocabulary continuous speech recognition (LVCSR) in Swedish. We trained acoustic models on the public domain NST Swedish corpus and made them freely available to ...

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A large vocabulary continuous speech recognition system for Persian language

A large vocabulary continuous speech recognition system for Persian language

... speech recognition system ...medium vocabulary continuous speech recognition system with high word error rate is ...developed large vocabulary continues speech recognition system ...

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A large vocabulary semantic network for computerised speech recognition

A large vocabulary semantic network for computerised speech recognition

... small vocabulary recognition (1000 words or less) assuming restricted environments or specific task domains ...of vocabulary and domain independence for speech or text recognition, a semantic ...

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Large Vocabulary Arabic Continuous Speech Recognition using Tied States
Acoustic Models

Large Vocabulary Arabic Continuous Speech Recognition using Tied States Acoustic Models

... a Large Vocabulary Arabic In addition, the Holy Qur’an was also considered for Continuous Speech Recognition System ...speech recognition by Hyassat and Zitar ...word recognition rate ...

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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.

... Speech recognition systems used in real time applications involve complex algorithms for faithful ...to large platforms and is not feasible to meet the performance constraints for smaller embedded mobile ...

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RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus

RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus

... In addition to the annotation of the signs in gloss notation and the announcements in written German, the center point of the hand palms and the nose tip have been annotated in a subset of 266 signs of the corpus. All ...

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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 ...word vocabulary of 64K words, while achieving real time ...

116

Survey on Name Entity Recognition

Survey on Name Entity Recognition

... entries. Name Entity Recognition is one of the main task needed to develop text mining systems in which it is used to identify and classify entities in the text into predefined categories such as the ...

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Speech Recognition Using Backoff N-Gram Modelling in Android Application

Speech Recognition Using Backoff N-Gram Modelling in Android Application

... sufficiently large training collection which makes the ML estimate definite, our model may be embarrassing if queries ht has never appeared in the training corpus, the case is denoted by ...

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Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition

Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition

... Cantonese large-vocabulary continuous speech ...speech recognition performance ...Speech Recognition, Pronunciation Variation, Cantonese ...

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Restructuring multimodal interaction data for browsing and search

Restructuring multimodal interaction data for browsing and search

... emotion recognition, improved speech processing, facial ex- pression recognition and contextual information fusion begin to offer greater possibilities for creating truly rich records of human-human ...

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Improving American Sign Language Recognition with Synthetic Data

Improving American Sign Language Recognition with Synthetic Data

... Language recognition system where the scale invariant fea- ture transform is used to perform the sign recogni- tion using Neural Network, K-Nearest Neighbors, and Support Vector ...the recognition of 80 ASL ...

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