Deep Learning-Based Automatic Speaker Recognition Using Self-Organized Feature Mapping

Author:

Preethi K.,Prasad C. V. P. R.

Publisher

Springer Nature Singapore

Reference26 articles.

1. Ali A, Gravino C (2019) A systematic literature review of software effort prediction using machine learning methods. J Softw Evol Process 31(10):e2211

2. De Lima TA, Speech C (2019) A survey on automatic speech recognition systems for Portuguese language and its variations. Comput Speech Lang 62:101055

3. Claus F, Rosales HG, Petrick R, Hain HU (2015) A survey about databases of children’s speech a survey about databases of children’s speech Dresden University of Technology, Chair for System Theory and Speech Technology. INTERSPEECH. 2015, pp. 2410–2414. Available online: https://www.isca-speech.org/archive_v0/archive_papers/interspeech_2013/i13_2410.pdf. Accessed on 15 Mar 2021.

4. HTK Speech Recognition Toolkit. Available online: http://htk.eng.cam.ac.uk/. Accessed on 2 Sept 2020

5. Overview of the CMUSphinx Toolkit. Available online: https://cmusphinx.github.io/wiki/tutorialoverview/. Accessed on 2 Sept 2020

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