ACL RD-TEC 1.0 Summarization of N06-1062

Paper Title:
UNLIMITED VOCABULARY SPEECH RECOGNITION FOR AGGLUTINATIVE LANGUAGES

Authors: Mikko Kurimo and Antti Puurula and Ebru Arisoy and Vesa Siivola and Teemu Hirsimäki and Janne Pylkkönen and Tanel Alumäe and Murat Saraclar

Other assigned terms:

  • acoustic model
  • acoustic models
  • agglutinative language
  • ambiguity
  • approach
  • break
  • broadcast news
  • case
  • community
  • compounding
  • continuous speech
  • conversational speech
  • corpora
  • corpus size
  • data sparsity
  • duration
  • entropy
  • error rate
  • estimation
  • fact
  • feature
  • foreign words
  • free word order
  • knowledge
  • language model
  • language models
  • language portability
  • large vocabulary speech
  • lattice
  • lattices
  • lexica
  • lexicon
  • likelihood
  • markov models
  • measure
  • memory consumption
  • method
  • minimum description length
  • model complexity
  • model size
  • morph
  • morpheme
  • morphemes
  • morphological rules
  • n-gram
  • n-gram language model
  • n-gram model
  • n-gram models
  • n-grams
  • names
  • nist
  • orthography
  • phoneme
  • phonemes
  • portability
  • prefixes and suffixes
  • probabilities
  • probability
  • pronunciation
  • recognition accuracy
  • recognition errors
  • recognition task
  • sentence
  • sentences
  • speech data
  • speech recognition accuracy
  • speech recognition errors
  • speech recognition task
  • statistical language model
  • statistics
  • stems
  • suffix
  • suffixes
  • symbol
  • symbols
  • target language
  • technology
  • television
  • text
  • text corpus
  • text database
  • toolkit
  • training
  • training corpus
  • training data
  • training material
  • training set
  • training text
  • transcribed speech
  • transformation
  • triphone
  • unigram
  • vocabulary
  • vocabulary growth
  • word
  • word error rate
  • word fragments
  • word order
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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