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09/18/2023
Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
The possibility of dynamically modifying the computational load of neura...
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03/12/2023
Improving the Intent Classification accuracy in Noisy Environment
Intent classification is a fundamental task in the spoken language under...
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03/06/2023
Scaling strategies for on-device low-complexity source separation with Conv-Tasnet
Recently, several very effective neural approaches for single-channel sp...
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11/15/2022
Exploring the Joint Use of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding
Continual learning refers to a dynamical framework in which a model or a...
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07/20/2021
Seed Words Based Data Selection for Language Model Adaptation
We address the problem of language model customization in applications w...
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06/23/2021
Mixtures of Deep Neural Experts for Automated Speech Scoring
The paper copes with the task of automatic assessment of second language...
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01/22/2020
TLT-school: a Corpus of Non Native Children Speech
This paper describes "TLT-school" a corpus of speech utterances collecte...
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03/15/2019
Automatic assessment of spoken language proficiency of non-native children
This paper describes technology developed to automatically grade Italian...
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09/25/2018
Non-native children speech recognition through transfer learning
This work deals with non-native children's speech and investigates both ...
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06/22/2017
Automatic Quality Estimation for ASR System Combination
Recognizer Output Voting Error Reduction (ROVER) has been widely used fo...
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02/06/2017
