3 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition
Dongji Gao, Hainan Xu, Desh Raj +3
Training automatic speech recognition (ASR) systems requires large amounts of well-curated paired data. However, human annotators usually perform "non-verbatim" transcription, whic…
MERLIon CCS Challenge Evaluation Plan
Leibny Paola Garcia Perera, Y. H. Victoria Chua, Hexin Liu +5
This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing…
Investigating model performance in language identification: beyond simple error statistics
Suzy J. Styles, Victoria Y. H. Chua, Fei Ting Woon +5
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…
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization
Victoria Y. H. Chua, Hexin Liu, Leibny Paola Garcia Perera +7
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 sp…