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

13 citations · 20 across the 5 of their papers we have counts for

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cs.CL2021

Seed Words Based Data Selection for Language Model Adaptation

Roberto Gretter, Marco Matassoni, Daniele Falavigna

We address the problem of language model customization in applications where the ASR component needs to manage domain-specific terminology; although current state-of-the-art speech…

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,…

cs.CL20177 cited

Automatic Quality Estimation for ASR System Combination

Shahab Jalalvand, Matteo Negri, Daniele Falavigna +2

Recognizer Output Voting Error Reduction (ROVER) has been widely used for system combination in automatic speech recognition (ASR). In order to select the most appropriate words to…

cs.CL2017

DNN adaptation by automatic quality estimation of ASR hypotheses

Daniele Falavigna, Marco Matassoni, Shahab Jalalvand +2

In this paper we propose to exploit the automatic Quality Estimation (QE) of ASR hypotheses to perform the unsupervised adaptation of a deep neural network modeling acoustic probab…