TLT-school: a Corpus of Non Native Children Speech
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Abstract (arXiv)
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. The corpus was recorded in the years 2017 and 2018 from students aged between nine and sixteen years, attending primary, middle and high school. All utterances have been scored, in terms of some predefined proficiency indicators, by human experts. In addition, most of utterances recorded in 2017 have been manually transcribed carefully. Guidelines and procedures used for manual transcriptions of utterances will be described in detail, as well as results achieved by means of an automatic speech recognition system developed by us. Part of the corpus is going to be freely distributed to scientific community particularly interested both in non-native speech recognition and automatic assessment of second language proficiency.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jan 2020.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 3; 2024: 2; 2025: 0; 2026: 2.
12 papers.
- 2021speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessmentcited by 58
- 2022Proficiency assessment of L2 spoken English using wav2vec 2.0cited by 20
- 2024Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedbackcited by 14
- 2023Automatic Pronunciation Assessment -- A Reviewcited by 7
- 2021Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL Systemcited by 4
- 2021Mixtures of Deep Neural Experts for Automated Speech Scoringcited by 3
- 2022Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representationscited by 3
- 2023Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correctioncited by 2
- 2023Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationalecited by 0
- 2024Error-preserving Automatic Speech Recognition of Young English Learners' Languagecited by 0
- 2026AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speechcited by 0
- 2026Child ASR Adaptation with Adult Retention: An Empirical Studycited by 0
- 2026AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech4 Oct 2026
- 2026Child ASR Adaptation with Adult Retention: An Empirical Study25 Sep 2026
- 2024Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback16 Dec 2024
- 2024Error-preserving Automatic Speech Recognition of Young English Learners' Language5 Jun 2024
- 2023Automatic Pronunciation Assessment -- A Review21 Oct 2023
- 2023Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction19 Jul 2023
- 2023Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale30 Apr 2023
- 2022Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations14 Nov 2022
- 2022Proficiency assessment of L2 spoken English using wav2vec 2.024 Oct 2022
- 2021Mixtures of Deep Neural Experts for Automated Speech Scoring23 Jun 2021
- 2021Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System18 Jun 2021
- 2021speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment3 Apr 2021