NESPOLE! System has been developed using two scenarios: the tourism scenario and the first aid medical assistance scenario. During the project life three main data collection have been carried on in order to develop the first and the second showcase. During the first year 191 dialogues have been collected. There are 62 German dialogues recorded, 61 Italian, 37 English and 31 French. Particularly an amount of 6 hours of dialogues for Italian and French, 7 hours for English, 8 hours for German has been recorded. Dialogues were about five predefined tourism scenarios. During the last year two major data collections have been carried on: the first one aimed at expanding the tourism scenario and the second one at addressing the medical domain. For the monolingual data collection five tourism scenarios were developed; 66 dialogues were recorded yielding 994.57 minutes of data: 243.52 minutes comprised in sixteen English dialogues, 246 minutes in sixteen German dialogues, 272.52 minutes in seventeen French dialogues and 232.53 minutes in seventeen Italian dialogues. The data collection on the medical domain involved Italian, English and German languages. A total of 49 dialogues were collected. The recording results in a total of 8 hours 25 minutes of audio files.
Our pick of the week by @DennisFucci: "Encoding of lexical tone in self-supervised models of spoken language" by @linguisticshen, @Phonologician
@afraalishahi, @AriannaBisazza, and @gchrupala, NAACL 2024.
#Speech #SpokenLanguageModels #ToneEncoding #Interpretability #Phonology
⏳Hurry up! Only 4 days left to apply for a PhD position on “Resource-efficient Foundation Models for Automatic Translation” (A10). Don't miss this opportunity!
📅 Deadline: May 7, 4pm (CEST)
👉Info: https://iecs.unitn.it/education/admission/call-for-application
#PhD #NLProc
Last on our power panel: none other than @HelenaMoniz5 🤩 President of @EAMTee and the International Association of Machine Translation. Currently Chair of the Ethics Committee of the Center for Responsible AI (https://centerforresponsible.ai/) with @Unbabel You don't want to miss this!
Our pick of the week by @beomseok_lee_: "UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions" by @Sid_Arora_18, @emonosuke, @pengyf21, @RoshanSSharma2, @shinjiw_at_cmu, et al., 2024.
#SLU #languageunderstanding #speech