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# Task Name
Spoken digit recognition - AudioMNIST
## Task Objective
The task's objective is to classify audio samples of spoken digits (0-9) into their corresponding Arabic number representat…
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# Task Name
Spoken digit arithmetic
## Task Objective
This task requires the model to perform basic arithmetic calculation based on the text instruction and the two input audio utterances. Each u…
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### Problem description
Pandas has the option to set the decimal separator. In some countries it is common to use `.` as a separator for 1000 digits and `,` for the decimal separator. e.g. `10.000,05…
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```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
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```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
-
```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
-
```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
-
```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
-
```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…
-
```
Problem:
In most contexts (even notepad apps), numbers are spoken like U.S. phone
numbers:
one hundred twenty-three, four hundred fifty-six, seventy-eight, ninety
or
one hundred twenty-three,…