large vocabulary speech recognition task
Large Vocabulary Continuous Speech Recognition for Bulgarian
... of 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 ...
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Pragmatic linguistic constraint models for large-vocabulary speech processing
... of recognition lattices in- volves traversing a much larger search space than when analysing sentences, and the necessity of real-time com- putability acts as a constraint on language model com- ...a task, ...
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Large Vocabulary Continuous Speech Recognition Using Linguistic Features and Constraints. Min Tang
... continuous speech. With continuous speech, the search space for both stages is infinite if all possible word sequences are ...continuous speech recognition, a way of recovering from errors ...
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Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish
... dictation task in office environment, based on phonetically rich sentences extracted from the Swedish text corpus also available from ...of speech data: i) a database for speech recognition ...
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Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition
... Table 2. Word error rates for the models (WER %). Table 2 shows the WER for the large (60000) and small (5000) vocabulary sizes and different mod- eling approaches. Table 3 shows the correspond- ing letter ...
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An Empirical Study of Word Error Minimization Approaches for Mandarin Large Vocabulary Continuous Speech Recognition
... Automatic speech recognition is a pattern classification task that classifies sound segments into different linguistic categories based on the acoustic vector sequence extracted from the ...
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Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.
... After evaluating the design phases involved in building a LVCSR, we separated the modules that are implemented in software and hardware. We used the trainers and decoders provided by CMU SPHINX [4] to perform the ...
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A Generic, Scalable Architecture for a Large Acoustic Model and Large Vocabulary Speech Recognition Accelerator.
... The method for activating new words is not so straight forward. Here, we have to make a transition from a word that has exited to all possible sounds it can transition to. The words in the dictionary are grouped by ...
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Recurrent neural network based language model for large vocabulary continuous Tamil language speech recognition system
... the task of estimating the probability distribution of linguistic units such as words and ...including speech recognition, document classification, optical character recognition, and ...
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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 ...to large vo- ...
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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) ...and speech forms. The Indonesian ...
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A large vocabulary semantic network for computerised speech recognition
... computerized speech, handwriting and optical character ...small vocabulary recognition (1000 words or less) assuming restricted environments or specific task domains ...e-mail task, ...
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Improved Minimum Phone Error based Discriminative Training of Acoustic Models for Mandarin Large Vocabulary Continuous Speech Recognition
... The speech corpus consisted of approximately 198 hours of MATBN (Mandarin Across Taiwan Broadcast News) Mandarin television news content [Wang et ...the speech materials were manually segmented into ...
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Unlimited vocabulary speech recognition for agglutinative languages
... for speech recogni- tion in agglutinative languages that would cover all the relevant ...and vocabulary independent way to build sub- word lexica for three different agglutina- tive ...successful ...
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Using sub word n gram models for dealing with OOV in large vocabulary speech recognition for Latvian
... In this paper, the authors explore the sub-word approach, i.e., prefixes and endings, which are mostly common for all words, are split and treated as separate words. This splitting greatly reduces vocabulary size, ...
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Applying the Generalized Dombi Operator Family to the Speech Recognition Task
... In this paper we shall focus on the third part, i.e. word-level probability aggregation. For this task we will apply the operators called tri- angular norms taken from the field of fuzzy logic. In the past we ...
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The HCRC Map Task Corpus: Natural Dialogue for Speech Recognition
... THE HCRC MAP TASK CORPUS NATURAL DIALOGUE FOR SPEECH RECOGNITION THE H C R C MAP TASK CORPUS NATURAL DIALOGUE FOR SPEECH RECOGNITION Henry S Thompson 1,2,3 A n n e Anderson1, 5 Ellen Gurman B a r d 1,[.] ...
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Generating Task Pertinent sorted Error Lists for Speech Recognition
... entity recognition task, was ...entities recognition and in automatic speech ...specific task is interesting but doesn’t necessarily allow to obtain a list of the most important and ...
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Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition
... Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition M W e i n t r a u b , G C h[.] ...
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A Large Vocabulary Continuous Speech Recognition Algorithm and Its Application to a Multi Modal Telephone Directory Assistance System
... A LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION ALGORITHM AND ITS APPLICATION TO A MULTI MODAL TELEPHONE DIRECTORY ASSISTANCE SYSTEM A L A R G E V O C A B U L A R Y C O N T I N U O U S S P E E C H R[.] ...
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