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Automatic modeling for adding new words to a large-vocabulary continuous speech recognition system
By: Makhoul, J.; Schwartz, R.; Asadi, A.;
1991 / IEEE / 0-7803-0003-3
This item was taken from the IEEE Periodical ' Automatic modeling for adding new words to a large-vocabulary continuous speech recognition system ' The authors report on the detection of new words for the speaker-dependent and speaker-independent paradigms. A useful operating point in a speaker-dependent paradigm is defined at 71% detection rate and 1% false alarm rate. The authors present a novel technique for obtaining a phonetic transcription for a new word, which is needed to add the new word to the system. The technique utilizes DECtalk's text-to-sound rules to obtain an initial phonetic transcription for the new word. Since these text-to-sound rules are imperfect, a probabilistic transformation technique is used that produces a phonetic pronunciation network of all possible pronunciations given DECtalk's transcription. The network is used to constrain a phonetic recognition process that results in an improved phonetic transcription for the new word. The resulting transcriptions are sufficient for speech recognition purposes.<
Speaker Independent Recognition
Large-vocabulary Continuous Speech Recognition
False Alarm Rate
Acoustic Signal Detection
Automatic Speech Recognition
Radio Access Networks
Speaker Dependent Recognition
Phonetic Pronunciation Network
Dectalk's Text-to-sound Rules