13 citations · 25 across the 5 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…
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…
Learning to Rank Microphones for Distant Speech Recognition
Samuele Cornell, Alessio Brutti, Marco Matassoni +1
Fully exploiting ad-hoc microphone networks for distant speech recognition is still an open issue. Empirical evidence shows that being able to select the best microphone leads to s…
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…
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…