activity
20172021
most citedTLT-school: a Corpus of Non Native Children Speech

13 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20215 cited

Experiments of ASR-based mispronunciation detection for children and adult English learners

Nina Hosseini-Kivanani, Roberto Gretter, Marco Matassoni +1

Pronunciation is one of the fundamentals of language learning, and it is considered a primary factor of spoken language when it comes to an understanding and being understood by ot…

cs.CL202013 cited

TLT-school: a Corpus of Non Native Children Speech

Roberto Gretter, Marco Matassoni, Stefano Bannò +1

This paper describes "TLT-school" a corpus of speech utterances collected in schools of northern Italy for assessing the performance of students learning both English and German. T…

cs.CL2019

Automatic assessment of spoken language proficiency of non-native children

Roberto Gretter, Katharina Allgaier, Svetlana Tchistiakova +1

This paper describes technology developed to automatically grade Italian students (ages 9-16) on their English and German spoken language proficiency. The students' spoken answers…

cs.CL2018

Non-native children speech recognition through transfer learning

Marco Matassoni, Roberto Gretter, Daniele Falavigna +1

This work deals with non-native children's speech and investigates both multi-task and transfer learning approaches to adapt a multi-language Deep Neural Network (DNN) to speakers,…

eess.AS20171 cited

The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments

Mirco Ravanelli, Maurizio Omologo

This paper introduces the contents and the possible usage of the DIRHA-ENGLISH multi-microphone corpus, recently realized under the EC DIRHA project. The reference scenario is a do…