Advancing Speech Recognition With No Speech Or With Noisy Speech

Gautam Krishna; Co Tran; Mason Carnahan; Ahmed H Tewfik

Advancing Speech Recognition With No Speech Or With Noisy Speech

Audio and Speech Processing 2020-03-17 v9 Computation and Language Machine Learning Sound Machine Learning

Authors: Gautam Krishna , Co Tran , Mason Carnahan , Ahmed H Tewfik

Abstract

In this paper we demonstrate end-to-end continuous speech recognition (CSR) using electroencephalography (EEG) signals with no speech signal as input. An attention model based automatic speech recognition (ASR) and connectionist temporal classification (CTC) based ASR systems were implemented for performing recognition. We further demonstrate CSR for noisy speech by fusing with EEG features.

Keywords

automatic speech recognition

Cite

@article{arxiv.1906.08871,
  title  = {Advancing Speech Recognition With No Speech Or With Noisy Speech},
  author = {Gautam Krishna and Co Tran and Mason Carnahan and Ahmed H Tewfik},
  journal= {arXiv preprint arXiv:1906.08871},
  year   = {2020}
}

Comments

Extended version of our accepted IEEE EUSIPCO 2019 paper with additional results for CTC model based recognition. arXiv admin note: substantial text overlap with arXiv:1906.08045, arXiv:1906.08044

Advancing Speech Recognition With No Speech Or With Noisy Speech

Abstract

Keywords

Cite

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