The label decoded is not the same as the pmap data. about e2e-asr

[zhoudoufu]

I am enchanting similar error when decoding with the TIMIT data set. I fix this by change the phone mapping part in eval.py.
here is my code

with open('conf/phones.60-48-39.map', 'r') as f:
    pmap = {rephone[1]: rephone[1]}
    for line in f:
        line = line.split()
        if len(line) < 2: pmap[line[0]] = rephone[0]
        else: pmap[line[1]] = line[1]
print(pmap)

[l2009312042]

@zhoudoufu why change from pmap[line[0]] = line[2] to pmap[line[1]] = line[1]?
and pmap = {rephone[1]: rephone[1]} not pmap = {rephone[0]: rephone[0]}

[PeiyanFlying]

So, dear friends,
Why does this happen? I mean what bugs result in this kind of problem?
I meet with the same one , either.

[PeiyanFlying]

@gccyxy
Hello, sir, I meet with the same problem as yours. So do you have some advice?
Many thanks and best.

[melody-rain]

I am enchanting similar error when decoding with the TIMIT data set. I fix this by change the phone mapping part in eval.py.
here is my code

with open('conf/phones.60-48-39.map', 'r') as f:
    pmap = {rephone[1]: rephone[1]}
    for line in f:
        line = line.split()
        if len(line) < 2: pmap[line[0]] = rephone[0]
        else: pmap[line[1]] = line[1]
print(pmap)

I replaced else: pmap[line[0]] = line[2] to else: pmap[line[1]] = line[2] and the final PER for RNN-T is 20.62% with 183 epoches of training.