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Demo Text To Speech

Developed by benjaminogbonna
Text-to-speech model fine-tuned based on microsoft/speecht5_tts
Speech Synthesis
Transformers
Open Source License:MIT#Speech Synthesis#TTS Fine-tuning#Low-resource Training
Downloads 79
Release Time : 4/3/2025

Model Overview

This model is a fine-tuned text-to-speech (TTS) model based on Microsoft's SpeechT5 architecture, capable of converting text into natural speech output.

Model Features

Efficient Fine-tuning
Fine-tuned based on the pre-trained SpeechT5 model, achieving good results with relatively few training steps (500 steps)
Optimized Training
Utilized techniques such as gradient accumulation (4 steps) and mixed-precision training to optimize the training process
Linear Learning Rate Scheduling
Used a linear learning rate scheduler with 100-step warmup to help the model converge stably

Model Capabilities

Text-to-Speech
Speech Synthesis

Use Cases

Speech Applications
Voice Assistants
Provides natural speech output for virtual assistants or chatbots
Audiobook Generation
Automatically converts text content into speech for audiobook production
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