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Found 2 papers, 2 papers with code
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization
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 language registers and speech patterns.
Investigating model performance in language identification: beyond simple error statistics
These overview metrics do not provide information about model performance at the level of individual speakers, recordings, or units of speech with different linguistic characteristics.
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