# Speech Recognition with no speech or with noisy speech

arXiv: https://arxiv.org/abs/1903.00739 · HTML: https://mlsanity.com/paper/1903.00739/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Mar 2019.

## Built on by (most cited first, 9 of 9)

- [Large Language Models are Efficient Learners of Noise-Robust Speech Recognition](https://mlsanity.com/paper/2401.10446/) (2024)
- [Model Inversion Robustness: Can Transfer Learning Help?](https://mlsanity.com/paper/2405.05588/) (2024)
- [Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR](https://mlsanity.com/paper/2304.04974/) (2023)
- [On the Vulnerability of Skip Connections to Model Inversion Attacks](https://mlsanity.com/paper/2409.01696/) (2024)
- [Neural Spelling: A Spell-Based BCI System for Language Neural Decoding](https://mlsanity.com/paper/2501.17489/) (2025)
- [LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition](https://mlsanity.com/paper/2406.04432/) (2024)
- [Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment](https://mlsanity.com/paper/2505.03519/) (2025)
- [Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope](https://mlsanity.com/paper/2504.13308/) (2025)
- [Tracking Articulatory Dynamics in Speech with a Fixed-Weight BiLSTM-CNN Architecture](https://mlsanity.com/paper/2504.18099/) (2025)

## Abstract (arXiv)

The performance of automatic speech recognition systems(ASR) degrades in the presence of noisy speech. This paper demonstrates that using electroencephalography (EEG) can help automatic speech recognition systems overcome performance loss in the presence of noise. The paper also shows that distillation training of automatic speech recognition systems using EEG features will increase their performance. Finally, we demonstrate the ability to recognize words from EEG with no speech signal on a limited English vocabulary with high accuracy.