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Automatic Speech Recognition of Quechua Language Using HMM Toolkit

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Information Management and Big Data (SIMBig 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1070))

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Abstract

In this paper, we present the implementation of an Automatic Speech Recognition system (ASR) for southern Quechua language. The software can recognize both continuous speech and isolated words. The ASR was developed using Hidden Markov Model Toolkit (HTK) and the corpus collected by Siminchikkunarayku. A dictionary provides the system with a mapping of vocabulary words to sequences of phonemes; the audio files were processed to extract the speech feature vectors (MFCC) and then, the acoustic model was trained using the MFCC files until its convergence. The paper also describes a detailed architecture of an ASR system developed using HTK library modules and tools. The ASR was tested using the audios recorded by volunteers obtaining a 12.70% word error rate.

This project was supported by CONCYTEC CIENCIACTIVA of the Peruvian government through grant 164-2015-FONDECYT and by PUCP through grant 2017-3-0039/436.

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Notes

  1. 1.

    2017 National Census, https://www.inei.gob.pe/.

  2. 2.

    http://www.illa-a.org/wp/.

  3. 3.

    http://hinant.in.

  4. 4.

    https://siminchikkunarayku.pe.

  5. 5.

    Ministerial Resolution 1218-1985-ED.

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Author information

Authors and Affiliations

  1. Pontifical Catholic University of Peru, Av. Universitaria 1801, Lima, 15088, Peru

    Rodolfo Zevallos & Luis Camacho

  2. National Institute of Oriental Languages and Civilisations, Paris, France

    Johanna Cordova

  3. National University of Callao, Av. Juan Pablo II 306, Bellavista, Peru

    Rodolfo Zevallos

Authors
  1. Rodolfo Zevallos
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  2. Johanna Cordova
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  3. Luis Camacho
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Corresponding author

Correspondence to Rodolfo Zevallos .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Juan Antonio Lossio-Ventura

  2. University of A Coruña, A Coruña, Spain

    Nelly Condori-Fernandez

  3. Visibilia, São Paulo, Brazil

    Jorge Carlos Valverde-Rebaza

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Zevallos, R., Cordova, J., Camacho, L. (2020). Automatic Speech Recognition of Quechua Language Using HMM Toolkit. In: Lossio-Ventura, J.A., Condori-Fernandez, N., Valverde-Rebaza, J.C. (eds) Information Management and Big Data. SIMBig 2019. Communications in Computer and Information Science, vol 1070. Springer, Cham. https://doi.org/10.1007/978-3-030-46140-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-46140-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46139-3

  • Online ISBN: 978-3-030-46140-9

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