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Hifigan Lj V1
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Hifigan Lj V1

Developed by jaketae
A HiFi-GAN vocoder model trained on the LJ Speech dataset for high-quality speech synthesis
Speech Synthesis
Transformers
 English#High-quality speech synthesis#Low computational overhead#Real-time speech generation
Downloads 32
Release Time : 3/2/2022

Model Overview

HiFi-GAN is an efficient generative adversarial network (GAN) model specifically designed for the vocoder task in speech synthesis, which can convert mel spectrograms into high-quality speech waveforms

Model Features

High-quality speech synthesis
Capable of generating high-fidelity audio close to human speech quality
Efficient inference
Faster inference speed compared to traditional vocoders
Based on GAN architecture
Trained using a generative adversarial network to capture fine-grained features of speech

Model Capabilities

Conversion from mel spectrograms to waveforms
High-quality speech synthesis
Real-time speech generation

Use Cases

Speech synthesis system
Text-to-speech system
As a vocoder component in the TTS pipeline, convert the mel spectrograms generated by the front-end into audible speech
Generate natural and fluent speech output
Voice assistant
Virtual assistant voice generation
Provide high-quality voice output for virtual assistants and chatbots
Improve user experience and interaction naturalness
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