Cambridge Journals Online (CJO) is the e-publishing service for over 230 journals published by Cambridge University Press and is entirely developed and hosted in-house. The platform's powerful capacity and reliable performance are maintained by a combination of our own expertise and a process of consultation with the library and research communities. With the help of these stakeholders, we maintain CJO as an industry-leading e-publishing service.
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.
The demand for Generative AI in Media and Entertainment Market size is expected to register USD 1,412.7 million by 2023. It is anticipated to showcase a steady CAGR of 26.3% between 2023 and 2032. Sales of generative AI in media and entertainment will likely register USD 11,570.0 million by 2032. Revenue stood at USD 1,158.5 million in 2022.
D. Lalanne, L. Nigay, P. Palanque, P. Robinson, J. Vanderdonckt, and J. Ladr. IMCI-MLMI '09: Proceedings of the 11th International Conference on Multimodal Interfaces and the 6th Workshop on Machine Learning for Multimodal Interfaces, Cambridge, MA, USA, page 153-160. (2009)