Search Results for author:
Found 6 papers, 0 papers with code
On Assessing and Developing Spoken ’Grammatical Error Correction’ Systems
Due to a lack of end-to-end training data, SGEC is often implemented as a cascaded, modular system, consisting of speech recognition, disfluency removal, and grammatical error correction (GEC).
Cross-corpora experiments of automatic proficiency assessment and error detection for spoken English
The growing demand for learning English as a second language has led to an increasing interest in automatic approaches for assessing spoken language proficiency.
Towards End-to-End Spoken Grammatical Error Correction
This foundation model can be used to replace the whole framework or part of it, e. g., ASR and disfluency removal.
L2 proficiency assessment using self-supervised speech representations
Though the wav2vec 2. 0 based system is found to be sensitive to the nature of the response, it can be configured to yield comparable performance to systems requiring a speech transcription, and yields gains when appropriately combined with standard approaches.
Proficiency assessment of L2 spoken English using wav2vec 2.0
The increasing demand for learning English as a second language has led to a growing interest in methods for automatically assessing spoken language proficiency.
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
