Search Results for author:
Found 10 papers, 1 papers with code
SmarTerp: A CAI System to Support Simultaneous Interpreters in Real-Time
We present a system to support simultaneous interpreting in specific domains.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
The rise of foundation models (FMs), coupled with regulatory efforts addressing their risks and impacts, has sparked significant interest in open-source models.
Seed Words Based Data Selection for Language Model Adaptation
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 recognition technology provides excellent results for generic domains, the adaptation to specialized dictionaries or glossaries is still an open issue.
Mixtures of Deep Neural Experts for Automated Speech Scoring
The paper copes with the task of automatic assessment of second language proficiency from the language learners' spoken responses to test prompts.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Experiments of ASR-based mispronunciation detection for children and adult English learners
In this study, we develop a mispronunciation assessment system that checks the pronunciation of non-native English speakers, identifies the commonly mispronounced phonemes of Italian learners of English, and presents an evaluation of the non-native pronunciation observed in phonetically annotated speech corpora.
Automatically Assess Children's Reading Skills
Our system, based on ASR technology, implements the Cornoldi{'}s MT battery, which is a well-known Italian test to assess reading skills.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
TLT-school: a Corpus of Non Native Children Speech
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.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Automatic assessment of spoken language proficiency of non-native children
This paper describes technology developed to automatically grade Italian students (ages 9-16) on their English and German spoken language proficiency.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Non-native children speech recognition through transfer learning
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, specifically children, learning a foreign language.
Euronews: a multilingual speech corpus for ASR
In this paper we present a multilingual speech corpus, designed for Automatic Speech Recognition (ASR) purposes.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
