Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Liu, Hexin"'
Autor:
Chua, Victoria Y. H., Liu, Hexin, Perera, Leibny Paola Garcia, Woon, Fei Ting, Wong, Jinyi, Zhang, Xiangyu, Khudanpur, Sanjeev, Khong, Andy W. H., Dauwels, Justin, Styles, Suzy J.
To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for speech processing models to be trained on datasets that feature diverse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a50c4c7767c56ca75f492fdef9ccecfa
http://arxiv.org/abs/2305.18881
http://arxiv.org/abs/2305.18881
Autor:
Styles, Suzy J., Chua, Victoria Y. H., Woon, Fei Ting, Liu, Hexin, Perera, Leibny Paola Garcia, Khudanpur, Sanjeev, Khong, Andy W. H., Dauwels, Justin
Language development experts need tools that can automatically identify languages from fluent, conversational speech, and provide reliable estimates of usage rates at the level of an individual recording. However, language identification systems are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87079707a1ef01f72b3c9c429873b1c6
Autor:
Perera, Leibny Paola Garcia, Chua, Y. H. Victoria, Liu, Hexin, Woon, Fei Ting, Khong, Andy W. H., Dauwels, Justin, Khudanpur, Sanjeev, Styles, Suzy J.
This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing robust language identification and language diarization systems that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77a6b4d4a7ea0e5be6ddd8dea03cb77
Autor:
Liu, Hexin, Perera, Leibny Paola Garcia, Khong, Andy W. H., Dauwels, Justin, Styles, Suzy J., Khudanpur, Sanjeev
In this paper, we propose to employ a dual-mode framework on the x-vector self-attention (XSA-LID) model with knowledge distillation (KD) to enhance its language identification (LID) performance for both long and short utterances. The dual-mode XSA-L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1084de66f48245ffb77680b55b4df79
Autor:
Liu, Hexin, Perera, Leibny Paola Garcia, Khong, Andy W. H., Styles, Suzy J., Khudanpur, Sanjeev
We propose a novel model to hierarchically incorporate phoneme and phonotactic information for language identification (LID) without requiring phoneme annotations for training. In this model, named PHO-LID, a self-supervised phoneme segmentation task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96a8703b7c273c6445fa1b1f1e02dd2