Adaptation approaches for pronunciation scoring with sparse training data

In Computer Assisted Language Learning systems, pronunciation scoring consists in providing a score grading the overall pronunciation quality of the speech uttered by a student. In this work, a log-likelihood ratio obtained with respect to two automatic speech recognition (ASR) models was used as sc...

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Detalles Bibliográficos
Autores principales: Landini, F., Ferrer, L., Franco, H., Karpov A., Mporas I., Potapova R., ASM Solutions Ltd.
Formato: SER
Materias:
Computer-assisted language learning
Log-likelihood ratio
MAP adaptation
Pronunciation scoring
Computer aided instruction
E-learning
Grading
Linguistics
Automatic speech recognition
Computer assisted language learning
Computer assisted language learning systems
Log likelihood ratio
Pronunciation quality
Scoring performance
Speech recognition
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v10458LNAI_n_p87_Landini
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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