Evaluation and Collection of Proper Name Pronunciations Online

Objective evaluation allows a model to be compared with other similar models. However, automatic pronunciation models should also be extensively evaluated by humans, since the ultimate goal of any pronunciation model is to produce an accurate pronunciation as judged by most people. This paper describes an initiative to evaluate and collect proper name pronunciations online, the development of the US Pronunciation of Proper Names Site (www.pronounce-names.org), and the results obtained so far. The internet, through our web-based interface, has already proven to be a very successful medium both in terms of number of evaluations and in terms of data collection. In 5 weeks, it has brought to our site 601 users, which have evaluated 477 names and corrected 281 pronunciations. The information gathered is useful to improve our pronunciation models, as well as to (automatically) correct the pronunciations in the CMU dictionary

Rapid Generation of Pronunciation Dictionaries for new Domains and Languages

This dissertation presents innovative strategies and methods for the rapid generation of pronunciation dictionaries for new domains and languages. Depending on various conditions, solutions are proposed and developed. Starting from the straightforward scenario in which the target language is present in written form on the Internet and the mapping between speech and written language is close up to the difficult scenario in which no written form for the target language exists