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Building Medium‐Vocabulary Isolated‐Word Lithuanian HMM Speech Recognition System
Volume 14, Issue 1 (2003), pp. 75–84
Gailius Raškinis   Danutė Raškinienė  

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https://doi.org/10.15388/Informatica.2003.005
Pub. online: 1 January 2003      Type: Research Article     

Received
1 September 2002
Published
1 January 2003

Abstract

In this paper, the opening work on the development of a Lithuanian HMM speech recognition system is described. The triphone single‐Gaussian HMM speech recognition system based on Mel Frequency Cepstral Coefficients (MFCC) was developed using HTK toolkit. Hidden Markov model's parameters were estimated from phone‐level hand‐annotated Lithuanian speech corpus. The system was evaluated on a speaker‐independent ∼750 distinct isolated‐word recognition task. Though the speaker adaptation and language modeling techniques were not used, the system was performing at 20% word error rate.

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Keywords
speech recognition hidden Markov modeling (HMM) HTK toolkit hand‐annotated speech corpora

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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