large vocabulary speech recognition system
Techniques to Achieve an Accurate Real Time Large Vocabulary Speech Recognition System
... TECHNIQUES TO ACHIEVE AN ACCURATE REAL TIME LARGE VOCABULARY SPEECH RECOGNITION SYSTEM T E C H N I Q U E S TO A C H I E V E A N A C C U R A T E R E A L T I M E L A R G E V O C A B U L A R Y S P E E C[.] ...
6
The Design Of An Albanian Large Vocabulary Continuous Speech Recognition System
... hours speech database which can be further used to design a large vocabulary-speech recognition ...automatic speech recognition ...
5
A large vocabulary continuous speech recognition system for Persian language
... first large vocabulary speech recognition system for the Persian language is introduced in this ...continuous speech recognition system uses most standard and ...
12
Recurrent neural network based language model for large vocabulary continuous Tamil language speech recognition system
... In this section we describes the related works belongs to the language modelling techniques. Statistical language modelling is to learn the joint probability function of sequences of words in a language [2].Multi- Class ...
6
A Generic, Scalable Architecture for a Large Acoustic Model and Large Vocabulary Speech Recognition Accelerator.
... We choose to design our system to work with unigram/bigram language models, al- lowing us to reduce hardware complexity. Unigrams can be indexed directly using word IDs and Bigrams can be indexed using either the ...
116
A large vocabulary semantic network for computerised speech recognition
... The same approach has been adopted for verbs. Most verbs usually start with a 'to verb' pattern, so that it is fairly easy to identify an 'is-a' relation by directly mapping a verb entry to the first verb following 'to' ...
10
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 ...
6
Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition
... variations can be handled by modifying one or more of the knowledge sources or improving the decoding algorithm. Phone changes can be handled by replacing the baseform transcription with surface-form transcriptions, i.e. ...
20
Issues in developing LVCSR System for Dravidian Languages: An Exhaustive Case Study for Tamil
... effect speech recognition performance are varied, all the sentences in the test set have been included in the LM and in the lexicon to avoid OOV (Out Of Vocabulary) ...The vocabulary and ...
7
Acoustic Phonetic Approaches for Improving Segment Based Speech Recognition for Large Vocabulary Continuous Speech
... segment-based speech recognition system on Thai phoneme recognition tasks, which usually yield phoneme recognition accuracies of less than 50% due the limited resource nature of ...
19
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 ...
7
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[.] ...
6
Large Vocabulary Continuous Speech Recognition for Bulgarian
... The result of the traversal is stored into a weighted acyclic word lattice. An example of the word lattice for the utterance ïåòêîðèòà is shown on Figure 6. The weights correspond to the acoustic and word bi- gram ...
5
Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.
... based recognition had to account for evaluating the likelihood of the sequence of observations for a given HMM, determining the best sequence of model states and adjust the model parameters to find the best ...
58
Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish
... We trained a number of model sets in different conditions. The first parameter we varied was the sampling rate: we used the NST database original sampling rate of 16 kHz but we also down-sampled the material to 8 kHz to ...
5
Comparative Experiments on Large Vocabulary Speech Recognition
... COMPARATIVE EXPERIMENTS ON LARGE VOCABULARY SPEECH RECOGNITION COMPARATIVE EXPERIMENTS ON LARGE VOCABULARY SPEECH RECOGNITION Richard Schwartz, Tasos Anastasakos, Francis Kubala, John Makhoul, Long Ng[.] ...
6
Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition
... Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Barbara Peskin, Larry Gillick, Y[.] ...
6
Recent Progress in Robust Vocabulary Independent Speech Recognition
... Recent Progress in Robust Vocabulary Independent Speech Recognition Recent Progress in Robust Vocabulary Independent Speech Recognition Hsiao Wuen Hon and Kai Fu Lee School o f Computer Science Carneg[.] ...
6
Towards Speech Recognition Without Vocabulary Specific Training
... TOWARDS SPEECH RECOGNITION WITHOUT VOCABULARY SPECIFIC TRAINING TOWARDS SPEECH RECOGNITION WITHOUT VOCABULARY SPECIFIC TRAINING Hsiao Wuen Hon, Kai Fu Lee, Robert Weide School of Computer Science Carn[.] ...
5