It has been shown that the proposed Siamese Recurrent Auto-encoder model is able to learn compact representations from variable-length speech seg- ments, which are effective in distinguishing erroneous segments from correct ones.
Aug 7, 2020 · This paper describes a study on automatic detection of phonological errors in Cantonese speech of kindergarten children, based on a newly collected large ...
The proposed approach to speech error detection involves the use of a Siamese recurrent autoencoder, which is trained to learn the similarity and discrepancy ...
The proposed approach to speech error detection involves the use of a Siamese recurrent autoencoder, which is trained to learn the similarity and discrepancy ...
Aug 7, 2020 · A study on automatic detection of phonological errors in Cantonese speech of kindergarten children, based on a newly collected large speech ...
Aug 7, 2020 · It has been shown that the proposed Siamese Recurrent Auto-encoder model is able to learn compact representations from variable-length speech ...
Automatic detection of phonological errors in child speech using Siamese recurrent autoencoder. Refereed conference paper presented and published in ...
Automatic detection of phonological errors in child speech using Siamese recurrent autoencoder. S. Ng, and T. Lee. CoRR, (2020 )
Oct 30, 2024 · Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder. INTERSPEECH 2020: 4476-4480. [i3]. view.
AP on real consonant errors. Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder. Preprint. Full-text available. Aug ...