Erstelle KI Videos aus Text mit dem KI Video Generator. Hole dir die fortschrittlichsten KI Avatare und Voiceover in über 140 Sprachen. Teste den kostenlosen KI Video Generator noch heute!
Today, speech technology is only available for a small fraction of the thousands of languages spoken around the world because traditional systems need to be trained on large amounts of annotated speech audio with transcriptions. Obtaining that kind of data for every human language and dialect is almost impossible.
Wav2vec works around this limitation by requiring little to no transcribed data. The model uses self-supervision to push the boundaries by learning from unlabeled training data. This enables speech recognition systems for many more languages and dialects, such as Kyrgyz and Swahili, which don’t have a lot of transcribed speech audio. Self-supervision is the key to leveraging unannotated data and building better systems.
Hello, I am currently searchin for a way to convert several Word documents into a single PDF file. The original Word documents are attachments to a One Order object in CRM 5.0, and I want to create an
Beautiful visualizations of how language differs among document types. - GitHub - JasonKessler/scattertext: Beautiful visualizations of how language differs among document types.
P. Moreira, Y. Bizzoni, K. Nielbo, I. Lassen, und M. Thomsen. Proceedings of the The 5th Workshop on Narrative Understanding, Seite 25--35. Toronto, Canada, Association for Computational Linguistics, (Juli 2023)
Z. Yang, D. Yang, C. Dyer, X. He, A. Smola, und E. Hovy. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Seite 1480--1489. San Diego, California, Association for Computational Linguistics, (Juni 2016)