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A decade of discriminative language modeling for automatic speech recognition

Access

info:eu-repo/semantics/closedAccess

Date

2015

Author

Saraçlar, Murat
Dikici, Erinc
Arısoy, Ebru

Metadata

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Citation

Saraclar, M., Dikici, E., & Arisoy, E. (SEP 20-24, 2015). A Decade of Discriminative Language Modeling for Automatic Speech Recognition. 17th International Conference on Speech and Computer (SPECOM) Location: Athens, GREECE. 9319. p. 11-22.

Abstract

This paper summarizes the research on discriminative language modeling focusing on its application to automatic speech recognition (ASR). A discriminative language model (DLM) is typically a linear or log-linear model consisting of a weight vector associated with a feature vector representation of a sentence. This flexible representation can include linguistically and statistically motivated features that incorporate morphological and syntactic information. At test time, DLMs are used to rerank the output of an ASR system, represented as an N-best list or lattice. During training, both negative and positive examples are used with the aim of directly optimizing the error rate. Various machine learning methods, including the structured perceptron, large margin methods and maximum regularized conditional log-likelihood, have been used for estimating the parameters of DLMs. Typically positive examples for DLM training come from the manual transcriptions of acoustic data while the negative examples are obtained by processing the same acoustic data with an ASR system. Recent research generalizes DLM training by either using automatic transcriptions for the positive examples or simulating the negative examples.

Source

Conference: Speech And Computer (Specom 2015), 17th International Conference on Speech and Computer (SPECOM) Location: Athens, GREECE Date: SEP 20-24, 2015

Volume

9319

URI

http://dx.doi.org/10.1007/978-3-319-23132-7_2
https://hdl.handle.net/20.500.11779/648

Collections

  • Araştırma Çıktıları, Scopus İndeksli Yayınlar Koleksiyonu [455]
  • Araştırma Çıktıları, WOS İndeksli Yayınlar Koleksiyonu [482]
  • MF, EEM, Bildiri ve Sunum Koleksiyonu [28]



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