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EM Training of Finite-State Transducers and Its Application to Pronunciation Modeling
Finite-State Transducers Pronunciation Modeling
2015/3/11
EM Training of Finite-State Transducers and Its Application to Pronunciation Modeling.
Pronunciation Modeling Using a Finite-State Transducer Representation
Pronunciation Modeling Transducer Representation
2015/3/11
Pronunciation Modeling Using a Finite-State Transducer Representation.
Feature-based pronunciation modeling with trainable asynchrony probabilities
pronunciation modeling trainable asynchrony probabilities
2015/3/11
Feature-based pronunciation modeling with trainable asynchrony probabilities.
Feature-based pronunciation modeling for speech recognition
pronunciation modeling speech recognition
2015/3/11
Feature-based pronunciation modeling for speech recognition.
Pronunciation modeling using a finite-state transducer representation
Pronunciation modeling transducer representation
2015/3/11
Pronunciation modeling using a finite-state transducer representation.
REDUCING PRONUNCIATION LEXICON CONFUSION AND USING MORE DATA WITHOUT PHONETIC TRANSCRIPTION FOR PRONUNCIATION MODELING
REDUCING PRONUNCIATION LEXICON CONFUSION MORE DATA WITHOUT PHONETIC TRANSCRIPTION PRONUNCIATION MODELING
2013/6/27
The multiple-pronunciation lexicon (MPL) is very important to model the pronunciation variations for spontaneous speech recognition. But the introduction of MPL brings out two pro...
MANDARIN PRONUNCIATION MODELING BASED ON CASS CORPUS
MANDARIN PRONUNCIATION MODELING BASED CASS CORPUS
2013/6/27
The pronunciation variability is an important issue that must be faced with when developing practical automatic spontaneous speech recognition systems. In this paper, the factors that m...
Pronunciation Modeling of Mandarin Casual Speech
Pronunciation Modeling Mandarin Casual Speech
2013/6/27
Current ASR systems can usually reach an accuracy of above 90% when evaluated on carefully read standard speech, but only around 75% on broadcast news speech. Broadcast news consists of utterances in ...