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Kan Bayashi Ljspeech Fastspeech2

Developed by espnet
This is a FastSpeech2 text-to-speech (TTS) model trained using the ESPnet framework, utilizing the LJSpeech dataset.
Downloads 22
Release Time : 3/2/2022

Model Overview

This model is a high-quality text-to-speech model capable of converting English text into natural speech output.

Model Features

High-quality speech synthesis
Based on the FastSpeech2 architecture, capable of generating natural and fluent speech output.
Open-source implementation
Trained using the open-source ESPnet framework, facilitating reproduction and integration.
Standard dataset training
Trained with the widely recognized LJSpeech dataset to ensure model quality.

Model Capabilities

English text-to-speech
High-quality speech synthesis

Use Cases

Speech synthesis applications
Audiobook generation
Automatically convert e-book text into speech
Generate natural and fluent audiobooks
Voice assistants
Provide speech output functionality for smart devices
Deliver a more natural interaction experience
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