Datasets:

mnazari
/

nena_speech_1_0_test

Tasks:

Automatic Speech Recognition

Languages:

Assyrian Neo-Aramaic

Chaldean Neo-Aramaic

Size:

License:

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mnazari commited on Sep 18, 2023

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 # NENA Speech Dataset
 ## Context
-The [Northeastern Neo-Aramaic (NENA) Database Project](https://nena.ames.cam.ac.uk/), lead by Professor Geoffrey Khan, has been collecting language documentation materials for the NENA dialects. These materials include [a description of the dialect of the Assyrian Christians of Urmi](https://drive.google.com/file/d/1k7QXjjxakQN87c0p-SAcUwnxY_JbrKj9/view?usp=drive_link). This description contains 300 pages of transcribed and translated oral literature. These language documentation materials are [actively being parsed](https://github.com/mattynaz/nena-dataset-parsing) and then placed into a database at [pocketbase.nenadb.dev](https://pocketbase.nenadb.dev/_). The platform [assyrianspeech.com/chaldeanspeech.com/aramaicspeech.com](https://crowdsource.nenadb.dev/) allows the community to directly engage with these parsed examples and contribute their own voices to the database.
 ## Goal
 The goal is to publish this dataset to [HuggingFace](https://huggingface.co/). Mozilla's [Common Voice dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0/tree/main) provides an example implementation of such a dataset.

 # NENA Speech Dataset
 ## Context
+The [Northeastern Neo-Aramaic (NENA) Database Project](https://nena.ames.cam.ac.uk/) has been aggregating language documentation materials for the NENA dialects. These materials include descriptions, including [a description of the dialect of the Assyrian Christians of Urmi](https://drive.google.com/file/d/1k7QXjjxakQN87c0p-SAcUwnxY_JbrKj9/view?usp=drive_link). This description contains 300 pages (8 hours) of transcribed and translated oral literature. These oral literatures are [actively being parsed](https://github.com/mattynaz/nena-dataset-parsing) and uploaded to a database at [pocketbase.nenadb.dev](https://pocketbase.nenadb.dev/_). The platform [crowdsource.nenadb.dev](https://crowdsource.nenadb.dev/) allows the community to directly engage with these parsed examples and contribute their own voices to the database.
 ## Goal
 The goal is to publish this dataset to [HuggingFace](https://huggingface.co/). Mozilla's [Common Voice dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0/tree/main) provides an example implementation of such a dataset.