Spectrogram Features-Based Automatic Speaker Identification For Smart Services
Automatic speaker identification (ASI) is an exciting area of research with numerous applications such as surveillance, voice authentication, identity verification, and electronic voice eavesdropping. This study investigates ASI based on features derived from spectrogram images through a convolution...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2459476 |
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