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Methods for Using Class Based N-gram Language Models in the Kaldi Toolkit.

, and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 492-503. Springer, (2021)

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A Comparison of Language Model Training Techniques in a Continuous Speech Recognition System for Serbian., , and . SPECOM, volume 11096 of Lecture Notes in Computer Science, page 522-531. Springer, (2018)Speaker Detection Using Phoneme Specific Hidden Markov Models., , , , and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 410-417. Springer, (2014)Methods for Using Class Based N-gram Language Models in the Kaldi Toolkit., and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 492-503. Springer, (2021)Advanced voice activity detection on mobile phones by using microphone array and phoneme-specific Gaussian mixture models., , and . SISY, page 45-50. IEEE, (2016)End-to-End Large Vocabulary Speech Recognition for the Serbian Language., , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 343-352. Springer, (2017)Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit., , , , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 186-192. Springer, (2015)Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition., , and . Comput. Intell. Neurosci., (2019)Language Model Optimization for a Deep Neural Network Based Speech Recognition System for Serbian., , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 483-492. Springer, (2017)A Phonetic Segmentation Procedure Based on Hidden Markov Models., , , , and . SPECOM, volume 9811 of Lecture Notes in Computer Science, page 67-74. Springer, (2016)Overcoming Data Sparsity in Automatic Transcription of Dictated Medical Findings., , , , and . EUSIPCO, page 454-458. IEEE, (2022)