this repo is a work in progress and contains Berom Speech data for ML Speech Applications
Go to your terminal and enter;
git clone https://github.com/mandeebot/Berom_Speech_Data.git
This adds a folder called "Berom_Speech_Data" which contains the files to your local directory.
- 212 recordings of an average of 20 word length per recording
- total recording hours
Recording and text Data were collected from a single Berom Male speaker via WhatsApp, hopefully, this is a baseline for berom speech data and as the project grows, the Lig-Aikuma Android app will be used in crowd-sourcing for more Berom Data. It is an easy-to-use app with a good interface for recording and elicitation. It offers 6 modes of usage;
- Recording
- Respeaking
- Translating
- Elicitation
- Check
- Share
Preprocessing involved;
- validating data for errors and removing corrupt files
One main dataset directory with subdirectories;
wavcontains the unprocessed recorded files and metadata
The dataset can be used majorly for low-resource speech model experiments or for cross-lingual ASR.
-Berom is a low resource language, meaning there is a very very low amount of resources online to supplement this, actively working towards generating more Berom speech data to add to this repo
- so far the text transcriptions collected D0 NOT have their tonal descriptions represented(diacritcs), this sets this dataset at some disadvantage, as it is very common in the Berom Language to have one word with different meanings, the different meanings of such a word is often indicated by the tone present in the word. Working towards updating this repo with data that have their tonal descriptions represented
- Recording speech takes time and can become uninteresting to perform quickly.
If you would like to contribute to this project by recording more audio files and transcriptions, You can make a pull request and I will be happy to add you to the project.