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The use of speed-up techniques for a speech recognizer system.

, and . I. J. Speech Technology, 9 (3-4): 95-107 (2006)

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The use of speed-up techniques for a speech recognizer system., and . I. J. Speech Technology, 9 (3-4): 95-107 (2006)General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats., , and . INTERSPEECH, page 531-535. ISCA, (2018)Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech., , , , and . INTERSPEECH, page 3408-3412. ISCA, (2018)Determining Native Language and Deception Using Phonetic Features and Classifier Combination., , , and . INTERSPEECH, page 2418-2422. ISCA, (2016)Improving the Multi-stack Decoding Algorithm in a Segment-Based Speech Recognizer., and . IEA/AIE, volume 2718 of Lecture Notes in Computer Science, page 744-749. Springer, (2003)Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts., , , , , , , and . ACL (2), The Association for Computer Linguistics, (2016)Various Robust Search Methods in a Hungarian Speech Recognition System., , and . Acta Cybern., 16 (2): 229-240 (2003)Conflict intensity estimation from speech using Greedy forward-backward feature selection.. INTERSPEECH, page 1339-1343. ISCA, (2015)Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces., , , , , and . CoRR, (2019)Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features., , , , , and . Computer Speech & Language, (2019)