A Compact End-to-End Model with Local and Global Context for Spoken Language Identification
Open paper
Benchmark
Model
Rank
Results
spoken-language-identification-on-fleurs
TitaNet-LID-3x5x1024 (extra data)
#4
Accuracy: 88.2
Rank counts only results with a code link.