WER and CER values for CR with varying number of ConvNet layers trained using standard loss function.
. | eval–1 . | eval–2 . | ||
---|---|---|---|---|
. | WER . | CER . | WER . | CER . |
CRk=1 | 6.18 | 2.15 | 3.72 | 1.29 |
CRk=2 | 6.46 | 2.30 | 4.18 | 1.46 |
CRk=3 | 6.47 | 2.26 | 3.61 | 1.26 |
CRk=4 | 6.93 | 2.51 | 3.54 | 1.31 |
CRk=5 | 6.63 | 2.40 | 3.92 | 1.38 |
CRk=6 | 6.68 | 2.52 | 3.94 | 1.50 |
CRk=7 | 6.58 | 2.60 | 3.90 | 1.50 |
CRk=8 | 6.56 | 2.48 | 3.64 | 1.54 |
CRk=9 | 6.59 | 2.69 | 3.84 | 1.60 |
CRk=10 | 6.32 | 2.52 | 3.61 | 1.62 |
. | eval–1 . | eval–2 . | ||
---|---|---|---|---|
. | WER . | CER . | WER . | CER . |
CRk=1 | 6.18 | 2.15 | 3.72 | 1.29 |
CRk=2 | 6.46 | 2.30 | 4.18 | 1.46 |
CRk=3 | 6.47 | 2.26 | 3.61 | 1.26 |
CRk=4 | 6.93 | 2.51 | 3.54 | 1.31 |
CRk=5 | 6.63 | 2.40 | 3.92 | 1.38 |
CRk=6 | 6.68 | 2.52 | 3.94 | 1.50 |
CRk=7 | 6.58 | 2.60 | 3.90 | 1.50 |
CRk=8 | 6.56 | 2.48 | 3.64 | 1.54 |
CRk=9 | 6.59 | 2.69 | 3.84 | 1.60 |
CRk=10 | 6.32 | 2.52 | 3.61 | 1.62 |