Voice-synthesis

Voice-synthesis

smoke-trees

This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.

136 Stars
39 Forks
136 Watchers
Python Language
Cost to Build
$169.4K
Market Value
$311.5K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the smoke-trees/Voice-synthesis GitHub project? Description: "This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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