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AI4Bharat-Indic-Parler-TTS: Text to Speech Model

A Text-to-Speech (TTS) model for multiple Indic languages, built using the Parler framework, offering expressive and natural speech synthesis.

About Model

The AI4Bharat Indic-Parler-TTS model is a Text-to-Speech (TTS) system designed to generate high-quality, natural-sounding speech in a variety of Indic languages. Built with the Parler framework, this model focuses on delivering fluent and intelligible speech, with attention to proper prosody and intonation. It enables the synthesis of voices for applications like chatbots, virtual assistants, audiobooks, accessibility features, and other voice-based interfaces. This model can be fine-tuned for different languages and dialects, enhancing interaction in multilingual environments.

AI4Bharat-Indic-Parler-TTS: Text to Speech Model

Metadata Metadata

MIT

Yoach Lacombe, Ashwin Sankar, Sherry Thomas, Praveen Srinivasa Varadhan, Sanchit Gandhi, Mitesh Khapra, Vaibhav Srivastav and Sanchit Gandhi,Dan Lyth and Simon King

Text to Speech

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:26

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 75
  • File Size 0
  • Views 2,006

Tags Tags

  • Indic Languages
  • Deep Learning
  • Text to Speech
  • Speech Synthesis
  • conversational-AI
  • AI-voice
  • multilingual-TTS
  • Parler-framework
  • voice-generation

License Control License Control

MIT

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