
Original dataset at [this repo](https://github.com/laleye/pyFongbe)

We transformed the original repo to take into account the waveform values directly in the csv.
Using `IPython.diplay` module, you can load an audio by doing: 

```python
import pandas as pd
from IPython.display import Audio, display

train = pd.read_csv("train.csv")
sample = train.sample(1).values[0]
print(f"Text: {sample[2]}")
display(Audio(sample[3], rate=16000, autoplay=True))
```

```
Text: alin ɔ ɖo xwe tεntin
Audio : 
```

license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 


Original dataset at this repo

We transformed the original repo to take into account the waveform values directly in the csv.
Using 'URL' module, you can load an audio by doing: 





TAGS
#license-apache-2.0 #region-us 

passage: TAGS
#license-apache-2.0 #region-us 
