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RasaTTS

RasaTTS

Rasa is a multilingual expressive Text-to-Speech (TTS) dataset designed to capture natural and emotional speech in Indian languages.

About Dataset

The Rasa dataset is a multilingual expressive Text-to-Speech (TTS) dataset tailored for Indian languages, featuring various speech styles like emotions (happy, sad, angry, etc.), commands, conversations, news reading, and book narration. It supports expressive TTS modeling, enabling natural and emotional speech synthesis across India's diverse linguistic landscape.

Purpose of Dataset

Rsasa

Dataset Metadata

License

Attribution-No Derivatives 4.0 International (CC BY-ND 4.0)

Geographical coverage

India

Sector

Sector Agnostic

Author

Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju & Mitesh M. Khapra

Source organisation

Uploaded by

Nikhil Narasimhan

Data Quality Score (Beta)

-

Dataset type

Unstructured

Frequency

Static

Time Granularity

Static

Year range

N.A.

Date & Time

05/05/25 10:59:53

Visibility

Open

Hosted / Redirected

Hosted

Activity Overview

0
24
148
0

Tags

NLP
Text to Speech
Multilingual AI

License Control

Attribution-No Derivatives 4.0 International (CC BY-ND 4.0)

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