![](https://sigport.org/sites/default/files/styles/list/public/portada.jpg?itok=Tk_CH3zC)
Phone-level pronunciation scoring is a challenging task, with performance far from that of human annotators. Standard systems generate a score for each phone in a phrase using models trained for automatic speech recognition (ASR) with native data only. Better performance has been shown when using systems that are trained specifically for the task using non-native data. Yet, such systems face the challenge that datasets labelled for this task are scarce and usually small.
2022-ICASSP (1).pdf
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
- Categories: