Erfan Loweimi

PhD Thesis

E. Loweimi, “Robust Phase-based Speech Signal Processing: From Source-Filter Separation to Model-Based Robust ASR” Ph.D. thesis, University of Sheffield, 2018.     PDF     BibTeX    


Journals

  1. Z. Yue, E. Loweimi, Z. Cvetkovic, J. Barker, and H. Christensen, “Raw Acoustic-articulatory Multimodal Dysarthric Speech Recognition,” Computer Speech & Language, vol. 95, p. 101839, 2026, doi: 10.1016/j.csl.2025.101839

  2. E. Loweimi, M. Qian, K. Knill, and M. Gales, Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness, Under Review, 2025.

  3. S. Hosseini, G. Chinello, G. Lindsay, E. Loweimi, M. A. Ansari, and D. McGlinchey, “Transfer Learning for Data-Driven Wet Gas Flow Metering: Enhancing Generalisation in Digital Measurement Systems,” Flow Measurement and Instrumentation, p. 103146, 2025, doi: 10.1016/j.flowmeasinst.2025.103146.

  4. A. Núñez García, S. de la Fuente García, E. Loweimi, M. Masoodian, R. Vieira, A. Rodrigues, and S. Luz, “A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being,” PLOS ONE, Nov. 12, 2025, doi: 10.1371/journal.pone.0336120.

  5. G. Wu, A. Haider, X. Tian, E. Loweimi, Ch-H.Chan, M. Qian, A. Muhammad, I. Spence, R. Cooper, W. Ng, J. Kittler, M. Gales and H. Wang, “Multi-modal Video Search by Examples – A Video Quality Impact Analysis”, IET Computer Vision, pp. 1–17, 2024, doi: 10.1049/cvi2.12303.

  6. E. Loweimi, A. Carmantini, P. Bell, S. Renals and Z. Cvetkovic, “Phonetic Error Analysis Beyond Phone Error Rate”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 3346-3361, 2023, doi: 10.1109/TASLP.2023.3313417.   Preprint

  7. E. Loweimi, Z. Yue, P. Bell, S. Renals, and Z. Cvetkovic, “Multi-stream Acoustic Modelling using Raw Real and Imaginary Parts of the Fourier Transform”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 876-890, 2023, doi: 10.1109/TASLP.2023.3237167.   Preprint

  8. Z. Yue †, E. Loweimi †, J. Barker, H. Christensen, and Z. Cvetkovic, “Acoustic Modelling from Raw Source and Filter Components for Dysarthric Speech Recognition”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 2968-2980, 2022, doi: 10.1109/TASLP.2022.3205766 († Equal contribution).   Preprint


Conferences

  1. Z. Yue, D. Kayande, Z. Cvetkovic, and E. Loweimi, Probing Whisper for Dysarthric Speech in Detection and Assessment, IEEE ICASSP, 2026 (Accepted).

  2. K. Fatehi, A. Shirian, and E. Loweimi, FinHuBERT: Hierarchical Feature Imitating Networks for Low-Resource Speech Recognition, IEEE ICASSP, 2026 (Accepted).

  3. E. Loweimi, S. De La Fonte Garcia, and S. Luz, Zero-Shot Speech-Based Depression and Anxiety Assessment with LLMs, ISCA INTERSPEECH, 2025.

  4. Z. Yue, M. Barberis, T. Patel, J. Dineley, W. Doedens, L. Stipdonk, Y.Y. Zhang, E. de Witte, E. Loweimi, H. Van hamme, D. Satoer, M. Ruiter, L. Moro-Velazquez, N. Cummins, O. Scharenborg, Challenges and Practical Guidelines for Atypical Speech Data Collection, Annotation, Usage and Sharing: A Multi-project Perspective, ISCA INTERSPEECH, 2025.

  5. E. Loweimi, M. Qian, K. Knill, and M. Gales, On the Usefulness of Speaker Embeddings for Speaker Retrieval in the Wild: A Comparative Study of x-vector and ECAPA-TDNN Models, ISCA INTERSPEECH, 2024.

  6. M. Qian, R. Ma, A. Liusie, E. Loweimi, K. Knill, and M. Gales, Zero-shot Audio Topic Reranking using Large Language Models, IEEE SLT, 2024.

  7. E. Loweimi, A. Carmantini, P. Bell, S. Renals, and Z. Cvetkovic, “Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs”, arXiv, 2024.

  8. Z. Yue †, E. Loweimi †, and Z. Cvetkovic, “Dysarthric Speech Recognition, Detection and Classification using Raw Phase and Magnitude Spectra“, ISCA INTERSPEECH, 2023 († Equal contribution).

  9. Z. Yue †, E. Loweimi †, J. Barker, H. Christensen, and Z. Cvetkovic, “Dysarthric Speech Recognition from Raw Waveform with Parametric CNNs”, ISCA INTERSPEECH, 2022 († Equal contribution).

  10. N. Shao, E. Loweimi, and X. Li, “RCT: Random Consistency Training for Semisupervised Sound Event Detection”, ISCA INTERSPEECH, 2022.

  11. Z. Yue †, E. Loweimi †, and Z. Cvetkovic, “Raw Source and Filter Modelling for Dysarthric Speech Recognition”, IEEE ICASSP, 2022 († Equal contribution).

  12. Z. Yue, E. Loweimi, Z. Cvetkovic, H. Christensen, and J. Barker, “Multimodal Acoustic-Articulatory Feature Fusion for Dysarthric Speech Recognition”, IEEE ICASSP, 2022.

  13. E. Loweimi, P. Bell, and S. Renals, “Speech Acoustic Modelling using Raw Source and Filter Components”, ISCA INTERSPEECH, 2021.

  14. S. Zhang, E. Loweimi, P. Bell, and S. Renals, “Stochastic Attention Head Removal: A Simple and Effective Method for Improving Transformer Based ASR Models”, ISCA INTERSPEECH, 2021.

  15. E. Loweimi, Z. Cvetkovic, P. Bell, and S. Renals, “Speech Acoustic Modelling from Raw Phase Spectrum”, IEEE ICASSP, 2021.

  16. S. Zhang, C-T. Do, R. Doddipatla, E. Loweimi, P. Bell, and S. Renals, “Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers”, IEEE ICASSP, 2021.

  17. E. Loweimi, P. Bell, and S. Renals, “Raw Sign and Magnitude Spectra for Multihead Acoustic Modelling”, ISCA INTERSPEECH, 2020.

  18. E. Loweimi, P. Bell, and S. Renals, “On the Robustness and Training Dynamics of Raw Waveform Models”, ISCA INTERSPEECH, 2020.

  19. S. Zhang, E. Loweimi, P. Bell, and S. Renals, “On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers”, IEEE SLT, 2020.

  20. J. Fainberg, O. Klejch, E. Loweimi, P. Bell, and S. Renals, “Acoustic Model Adaptation from Raw Waveforms with SincNet”, IEEE ASRU, 2019.

  21. E. Loweimi, P. Bell, and S. Renals, “On Learning Interpretable CNNs with Parametric Modulated Kernel-based Filters”, ISCA INTERSPEECH, 2019.

  22. S. Zhang, E. Loweimi, Y. Xu, P. Bell, and S. Renals “Trainable Dynamic Subsampling for End-to-End Speech Recognition”, ISCA INTERSPEECH, 2019.

  23. M.A. Jalal, E. Loweimi, R. Moore, and T. Hain, “Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition”, ISCA INTERSPEECH, 2019.

  24. E. Loweimi, P. Bell, and S. Renals, “On the Usefulness of Statistical Normalisation of Bottleneck Features for Speech Recognition”, IEEE ICASSP, 2019.

  25. S. Zhang, E. Loweimi, P. Bell, and S. Renals, “Windowed Attention Mechanisms for Speech Recognition”, IEEE ICASSP, 2019.

  26. E. Loweimi, J. Barker, and T. Hain, “On the Usefulness of the Speech Phase Spectrum for Pitch Extraction”, ISCA INTERSPEECH, 2018.

  27. E. Loweimi, J. Barker, and T. Hain, “Exploring the use of Group Delay for Generalised VTS based Noise Compensation”, IEEE ICASSP, 2018.

  28. E. Loweimi, J. Barker, and T. Hain, “Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR”, ISCA INTERSPEECH, 2017.

  29. E. Loweimi, J. Barker, O. Saz Torralba, and T. Hain, “Robust Source-Filter Separation of Speech Signal in the Phase Domain”, ISCA INTERSPEECH, 2017.

  30. E. Loweimi, J. Barker, and T. Hain, “Statistical Normalisation of Phase-based Feature Representation for Robust Speech Recognition”, IEEE ICASSP, 2017.

  31. E. Loweimi, J. Barker, and T. Hain, “Use of Generalised Nonlinearity in VTS Noise Compensation for Robust Speech Recognition”, ISCA INTERSPEECH, 2016.

  32. E. Loweimi, J. Barker, and T. Hain, “Source-filter Separation of Speech Signal in the Phase Domain”, ISCA INTERSPEECH, 2015.

  33. E. Loweimi, M. Doulaty, J. Barker, and T. Hain, “Long-term statistical Feature Extraction from Speech Signal and its Application in Emotion Recognition”, Statistical Language and Speech Processing (SLSP), 2015.

  34. E. Loweimi, M. Doulaty, J. Barker, and T. Hain, “Emotion Recognition from the Speech Signal by Effective Combination of Generative and Discriminative Models”, USES, 2015.

  35. E. Loweimi, J. Barker, and T. Hain, “Compression of Model-based Group Delay Function for Robust Speech Recognition”, USES, 2014.

  36. E. Loweimi, S.M. Ahadi, and T. Drugman, “A New Phase-based Feature Representation for Robust Speech Recognition”, IEEE ICASSP, 2013.

  37. E. Loweimi, S.M. Ahadi, T. Drugman, and S. Loveymi, “On the Importance of Pre-emphasis and Window Shape in Phase-based Speech Recognition”, Lecture Notes in Computer Science, vol. 7911 LNAI, 2013.

  38. E. Loweimi, S.M. Ahadi, and H. Sheikhzadeh, “Phase-only Speech Reconstruction Using Very Short Frames”, ISCA INTERSPEECH, 2011.

  39. E. Loweimi and S.M. Ahadi, “A New Group Delay-based Feature for Robust Speech Recognition”, IEEE ICME, 2011.

  40. E. Loweimi, S.M. Ahadi, and S. Loveymi, “On the Importance of Phase and Magnitude Spectra in Speech Enhancement”, IEEE ICEE, 2011 (PDF).

  41. E. Loweimi and S.M. Ahadi, “Objective Evaluation of Phase and Magnitude only Reconstructed Speech: New Considerations”, IEEE ISSPA, 2010.

  42. E. Loweimi and S.M. Ahadi, “Objective Evaluation of Magnitude and Phase only Spectrum-based Reconstruction of the Speech Signal”, IEEE ISCCSP, 2010.