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IEEE Open Journal of Signal Processing is a peer-reviewed journal published by IEEE, covering Speech and Audio Processing, Speech Recognition and Synthesis, Sparse and Compressive Sensing Techniques. Over its lifetime it has published 431 papers, which have received 2,606 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Open Journal of Signal Processing, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Open Journal of Signal Processing style. No sign-up. |
| Publishes research in | Speech and Audio Processing Speech Recognition and Synthesis Sparse and Compressive Sensing Techniques Advanced Adaptive Filtering Techniques Music and Audio Processing |
| ISSN | 2644-1322 |
| Citation impact (2-yr) | 2.98 |
| h-index | 22 |
| i10-index | 64 |
| Article processing charge | $1,750 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | KU Leuven |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In this overview paper, data-driven learning model-based cooperative localization and location data processing are considered, in line with the emerging machine learning and big data methods. We first review (1) state-of-the-art algorithms in the context of federated learning, (2) two widely used learning models, namely the deep neural network model and the Gaussian process model,…
Together with impressive advances touching every aspect of our society, AI technology based on Deep Neural Networks (DNN) is bringing increasing security concerns. While attacks operating at test time have monopolised the initial attention of researchers, backdoor attacks, exploiting the possibility of corrupting DNN models by interfering with the training process, represents a further serious…
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS. Previous DNS challenges were held at INTERSPEECH 2020, ICASSP 2021, INTERSPEECH 2021, and ICASSP 2022. This challenge aims to advance models capable…
We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-to-end neural network systems, with a focus on speaker adaptation, domain adaptation, and accent adaptation. The overview characterizes adaptation algorithms as based on embeddings, model parameter adaptation, or data augmentation. We…
Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora's box of potential disinformation risks. In this context, the present corpus of synthetic image detection techniques, primarily focusing on older generative…
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