The project aims to develop conversational agents interacting with users, by both voice and textual messages, asking financial information. To this purpose SpeechTeK unit will develop ASR systems, both in English and Hungarian languages, capable of handling language models that are dynamically activated in a context of human-machine dialog.
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The goal of this project is to automatically estimate the language proficiency of Italian native-language students in Trentino region during two-year evaluation campaigns, both in English and German language.
This project, funded by the Italian company PerVoice (www.pervoice.com), is two fold
- the development of ASR systems for transcribing TV news in: Russian, Chinese and Japanese languages.
- the development of a speaker diarization system based on the usage of DNN embedded representations of speaker identities.