tag:blogger.com,1999:blog-8096269532297058242.post1137080029251943963..comments2024-03-24T13:11:48.274+02:00Comments on Cognitive Systems: Pylkkönen: Towards Efficient and Robust Automatic Speech RecognitionAnonymoushttp://www.blogger.com/profile/00264017426433186755noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-8096269532297058242.post-31736940066669626542013-03-22T17:04:45.975+02:002013-03-22T17:04:45.975+02:00Machine translation is another interesting area fr...Machine translation is another interesting area from this point of view. Google hired in 2004 a talented researcher, Franz Joseph Och, who had defended his PhD thesis in 2002 at Technical University of Aachen, Germany. It seems that Och benefited greatly from the knowledge that was available in Aachen. Aachen remains to be one of the leading universities in the area of statistical machine translation in the world, with university of Edinburgh where Philipp Koehn is the acknowledged master mind in SMT. In Aachen, professor Hermann Ney is the leading figure whose publications with Och, Kneser and others belong to the core knowledge in this area. Google has, in essence, relied on expertise much of which is of European origin. This pattern is a challenge for European enterprises to consider. Anonymoushttps://www.blogger.com/profile/00264017426433186755noreply@blogger.comtag:blogger.com,1999:blog-8096269532297058242.post-68832489003333442772013-03-22T16:54:05.633+02:002013-03-22T16:54:05.633+02:00This is a good question for which there are many a...This is a good question for which there are many answers. The system developed in Otaniemi is of very high quality and in that sense Google does not have methodologically much more to offer. The most important differences seem to be that Google has huge text collections to train their language models and they have possibility to put more resources to the practical implementation of their systems. Therefore, they can, for example, provide systems for very many languages. <br /><br />The majority of the core methodologies in speech recognition has originally been developed in universities.Large companies like Google have, of course, chance to hire high-level experts in the area and thus have also very high high level research and development. However, at the level of ideas there is no gap and, moreover, the academic research community as a whole can cover a wider scope of ideas.Anonymoushttps://www.blogger.com/profile/00264017426433186755noreply@blogger.comtag:blogger.com,1999:blog-8096269532297058242.post-77919938931644659212013-03-22T14:12:29.410+02:002013-03-22T14:12:29.410+02:00What's the relation between Pylkkönen's an...What's the relation between Pylkkönen's and other academic work/advances compared to what technologies Google has to offer? To what extent does the academia offer applicable results? Did McDermott say anything that would reflect this?Janne H.https://www.blogger.com/profile/08533381036806788255noreply@blogger.com