Transformer-based language-independent gender recognition in noisy audio environments
Abstract This study proposes an independent method for identifying the gender of the speaker from an audio clip in a noisy environment. In this paper are performed two different processes on audio clips: one as a Mel-Spectrogram and the other using the Wav2Vec2 acoustic model emission, examining the...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-04-01
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| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-99011-x |
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