13 citations · 29 across the 6 of their papers we have counts for
7 papers
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…
Mixtures of Deep Neural Experts for Automated Speech Scoring
Sara Papi, Edmondo Trentin, Roberto Gretter +2
The paper copes with the task of automatic assessment of second language proficiency from the language learners' spoken responses to test prompts. The task has significant relevanc…
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…
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…
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,…
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…