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linagora
/

linto-dataset-audio-ar-tn-augmented

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Automatic Speech Recognition

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hedhoud12 commited on Sep 16

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@@ -468,6 +468,14 @@ The **LinTO DataSet Audio for Arabic Tunisian Augmented v0.1** comprises a diver
 - **Noise Reduction**: Applying techniques to minimize background noise and enhance audio clarity for better model performance. For this, we used **Deezer [Spleeter](https://github.com/deezer/spleeter)**, a library with pretrained models, to separate vocals from music.
 - **Voice Conversion**: Modifying speaker characteristics (e.g., pitch) through voice conversion techniques to simulate diverse speaker profiles and enrich the dataset. For this, we chose **SoftVC VITS Singing Voice Conversion** ([SVC](https://github.com/voicepaw/so-vits-svc-fork)) to alter the original voices using 7 different pretrained models.
 ### Content Types
 - **FootBall**: Includes recordings of football news and reviews.
 - **Documentaries**: Audio from documentaries about history and nature.

 - **Noise Reduction**: Applying techniques to minimize background noise and enhance audio clarity for better model performance. For this, we used **Deezer [Spleeter](https://github.com/deezer/spleeter)**, a library with pretrained models, to separate vocals from music.
 - **Voice Conversion**: Modifying speaker characteristics (e.g., pitch) through voice conversion techniques to simulate diverse speaker profiles and enrich the dataset. For this, we chose **SoftVC VITS Singing Voice Conversion** ([SVC](https://github.com/voicepaw/so-vits-svc-fork)) to alter the original voices using 7 different pretrained models.
+The image below shows the difference between the original and the augmented audio:
+![Demo Interface](https://huggingface.co/linagora/linto-dataset-audio-ar-tn-augmented-0.1/resolve/main/img.png)
+- The first row shows the original waveform.
+- The second row shows the audio after noise reduction.
+- The last row shows the audio with voice conversion augmentation.
+-
 ### Content Types
 - **FootBall**: Includes recordings of football news and reviews.
 - **Documentaries**: Audio from documentaries about history and nature.