Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN

Research article (2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2020) · cited 12× · AI/ML
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Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN

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Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/overcoming-data-scarcity-in-speaker-identification-dataset-augmentation-with-synthetic-mfccs-via-character-level-rnn
MLA “Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/overcoming-data-scarcity-in-speaker-identification-dataset-augmentation-with-synthetic-mfccs-via-character-level-rnn.
BibTeX @misc{4ortxyz_overcoming-data-scarcity-in-speaker-identification-dataset-augmentation-with-synthetic-mfccs-via-character-level-rnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN}}, year = {2026}, url = {https://4ort.xyz/entity/overcoming-data-scarcity-in-speaker-identification-dataset-augmentation-with-synthetic-mfccs-via-character-level-rnn}, note = {Accessed: 2026-05-24}}
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