Keyword spotting in continuous speech using convolutional neural network
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/07/01
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Journal
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Indian UGC (journal)
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Refrences36
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Citations3
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Amir Mohammad Rostami ORCID (unauthenticated)
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Ali Karimi ORCID (unauthenticated)
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Mohammad Ali Akhaee
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Physics
Acoustics
Sound
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Keyword spotting exploiting Long Short-Term Memory | Speech Communication |
| 17 | 2013 |
| Discriminative keyword spotting | Speech Communication |
| 33 | 2009 |
| Effective combination of DenseNet and BiLSTM for keyword spotting | IEEE Access |
| 2019 | |
| Wake word detection with streaming transformers | 2021 | |||
| Conformer: Convolution-augmented transformer for speech recognition | 2020 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Speech Keyword Spotting Method Based on Swin-Transformer Model | International Journal of Computational Intelligence Systems |
| 2024 | |
| Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection | Circuits, Systems, and Signal Processing |
| 2 | 2023 |
| A review of deep learning techniques for speech processing | Information Fusion |
| 24 | 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A review of deep learning techniques for speech processing and was published in 2023. The most recent citation comes from a 2024 study titled Speech Keyword Spotting Method Based on Swin-Transformer Model. This article reached its peak citation in 2023, with 2 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the International Journal of Computational Intelligence Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.