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AI4Bharat - Fastspeech2 Model using Hybrid Segmentation (HS): Text to Speech Model
Text-to-speech models trained using FastPitch and HiFi-GAN vocoder, separately for each language. Supports both 'female' and 'male' voices
About Model
This repository contains a Fastspeech2 Model for 16 Indian languages (male and female both) implemented using the Hybrid Segmentation (HS) for speech synthesis. The model is capable of generating mel-spectrograms from text inputs and can be used to synthesize speech. Fs2 is composed of 6 feed-forward Transformer blocks with multi-head self-attention and 1D convolution on both phoneme encoder and mel-spectrogram decoder.
AI4Bharat - Fastspeech2 Model using Hybrid Segmentation (HS): Text to Speech Model
Metadata
MIT
IIT Madras
Text to Speech
N.A.
Open
Sector Agnostic
21/02/25 13:21:39
0
Activity Overview
0
220 
0 
2,830
Tags
- Multilingual
- NLP
- Text Processing
- Transformer
- Text to Speech
- Language Detection
License Control
MIT
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