Proceedings of International Conference on Applied Innovation in IT  ·  2026/04/22  ·  Vol. 14  ·  Issue 2  ·  pp. 103–110
A Comparative Study of Noise Effects, VAD, and ASR Methods in
Anastasiia Sapeha, Ibrahim Kovan, Subashkumar Rajanayagam, Kirill Karpov, Maksim Gering,
Automatic speech recognition (ASR) deployed in real environments is strongly affected by background noise
Speech Recognition Noise-Robust Speech Processing Voice Activity Detection Automatic Speech Recog-
References
  1. J. Ramírez, J. C. Segura, C. Benítez, A. de la Torre, and A. Rubio, “A new voice activity detector using subband order-statistics filters for robust speech recognition,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2004.
  2. A. Baevski, H. Zhou, A. Mohamed, and M. Auli, “wav2vec 2.0: A framework for self-supervised learning of speech representations,” in Proc. Advances in Neural Information Processing Systems (NeurIPS), 2020.
  3. K. Kuhn, V. Kersken, B. Reuter, N. Egger, and G. Zimmermann, “Measuring the accuracy of automatic speech recognition solutions,” ACM Transactions on Accessible Computing, vol. 16, Dec. 2023.
  4. S. Braun and H. Gamper, “Effect of noise suppression losses on speech distortion and ASR performance,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 996-1000, 2022.
  5. J. H. Ko, J. Fromm, M. Philipose, I. Tashev, and S. Zarar, “Limiting numerical precision of neural networks to achieve real-time voice activity detection,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2236-2240, 2018.
  6. M. R. Prasad, S. B. Gowda, M. B. Talawar, and N. Jagadisha, “Integrated noise suppression techniques for enhancing voice activity detection in degraded environments,” International Journal of Speech Technology, vol. 27, pp. 987-995, 2024.
  7. S. Tong, N. Chen, Y. Qian, and K. Yu, “Evaluating VAD for automatic speech recognition,” in Proc. 12th International Conference on Signal Processing (ICSP), pp. 2308-2314, 2014.
  8. K. Yamamoto, R. Takeda, and K. Komatani, “Analysis of voice activity detection errors in API-based streaming ASR for human-robot dialogue,” in Proc. 15th International Workshop on Spoken Dialogue Systems Technology, Bilbao, Spain: Association for Computational Linguistics, pp. 245-253, May 2025, [Online]. Available: https://aclanthology.org/2025.iwsds-1.26/.
  9. C. Arriaga, A. Pozo, J. Conde, and A. Alonso, “Assessing latency in ASR systems: A methodological perspective for real-time use,” 2025, [Online]. Available: https://arxiv.org/abs/2409.05674.
  10. A. Sapeha, E. Sariiev, M. Sapeha, I. Kovan, S. Rajanayagam, K. Karpov, M. Gering, D. Kachan, and E. Siemens, “GTA-NarrativeTraj: Language-aware trajectory prediction from GPS and dialogue in an open-world simulator,” in Proc. Int. Conf. Appl. Innov. IT, vol. 13, no. 5, pp. 193–199, doi: 10.25673/122853.
  11. J. Carletta, “Unleashing the killer corpus: Experiences in creating the multi-everything AMI meeting corpus,” Language Resources and Evaluation, vol. 41, no. 2, pp. 181-190, 2007.
  12. D. Orel and H. A. Varol, “Noise-robust automatic speech recognition for industrial and urban environments,” in Proc. IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, pp. 1-6, 2023.
  13. M. Kolbæk, Z.-H. Tan, S. H. Jensen, and J. Jensen, “On loss functions for supervised monaural time-domain speech enhancement,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 825-838, 2020.
ICAIIT 2026
International Conference on Applied Innovation in IT
Bringing together researchers, engineers and practitioners to share advances in applied information technology.
Submission deadline
September 29, 2026
Paper acceptance
November 2, 2026
Journal publication
November 30, 2026
Next conference
March 11, 2027 · Köthen, Germany
© 2026 ICAIIT · Anhalt University of Applied Sciences ISSN 2198-8005 (online)

Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0  ·  This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License