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- Acoustic-Phonetic Datasets for the World's Languages. Interspeech 2018. ISCA. doi:10.21437/interspeech.2018-1185. Bauer, Patrick and Scheler, David and Fingscheidt...4 KB (561 words) - 09:25, 19 April 2024
- Adaptation for Feed-Forward Models. Interspeech 2018. Hyderabad, India: Interspeech. pp. 3383–3387. doi:10.21437/Interspeech.2018-1070. S2CID 52192034. Jelinek...9 KB (1,067 words) - 02:33, 22 March 2024
- INTERSPEECH ’18: 19th Proc. Annu. Conf. Int. Speech Commun. Assoc. INTERSPEECH 2018. Hyderabad, India. pp. 2018–1336. Detey, S.; Fontan, L.; Le Coz, M...20 KB (2,320 words) - 16:53, 21 June 2024
- Wu Chinese Dialect" (PDF), Proc. Interspeech: 207–211, doi:10.21437/Interspeech.2018-1225, S2CID 52187066, archived from the original (PDF) on 2019-05-17...22 KB (1,664 words) - 19:29, 5 February 2024
- Deep Convolutional Networks with Attention". Interspeech 2018. ISCA: 681–685. doi:10.21437/Interspeech.2018-2279. S2CID 52187155. Tan, Xu; Qin, Tao; Soong...42 KB (4,530 words) - 00:37, 20 June 2024