Hindi_SpeechT5_finetuned Open-source Speech Synthesis Model - Empowering Rapid Hindi Speech Generation

Hindi SpeechT5 Finetuned

Developed by Tejasva-Maurya

This model is a speech synthesis model fine-tuned on the Hindi validation set of the common_voice_17_0 dataset, based on microsoft/speecht5_tts.

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Release Time : 10/24/2024

Model Overview

This is a speech synthesis (TTS) model optimized for Hindi, capable of converting text into natural speech.

Hindi optimization

Fine-tuned specifically for Hindi speech characteristics to provide more natural pronunciation.

Based on SpeechT5 architecture

Utilizes Microsoft's advanced SpeechT5 speech synthesis architecture for high-quality voice generation.

Trained on Common Voice dataset

Trained using the Hindi portion of Mozilla's Common Voice dataset, ensuring reliable data quality.

Hindi text-to-speech

Speech synthesis

Multi-speaker voice generation (inference)

Assistive technology

Assistance for visually impaired

Converts Hindi text content into speech for visually impaired users.

Content creation

Audiobook generation

Automatically converts Hindi e-books into audio versions.

Training Loss	Epoch	Step	Validation Loss
0.6856	0.3442	100	0.5976
0.5929	0.6885	200	0.5453
0.5554	1.0327	300	0.5130
0.5407	1.3769	400	0.5052
0.5318	1.7212	500	0.4847
0.5213	2.0654	600	0.4796
0.514	2.4096	700	0.4728
0.5065	2.7539	800	0.4703
0.5046	3.0981	900	0.4684
0.4976	3.4423	1000	0.4621
0.4929	3.7866	1100	0.4583
0.4791	4.1308	1200	0.4550
0.4823	4.4750	1300	0.4529
0.485	4.8193	1400	0.4506
0.4774	5.1635	1500	0.4524

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