Скачать или смотреть Voice Synthesis: Generating Human Like Speech from Text

Voice cloning and text-to-speech (TTS) technologies have advanced significantly, enabling the synthesis of highly natural and intelligible speech. However, generating speech that accurately captures the unique vocal characteristics of a target speaker remains challenging, especially when aiming for high fidelity in prosody, tone, and timbre. Additionally, TTS-generated audio often contains artifacts, background noise, or other distortions that reduce the perceived similarity to the original speaker.

The goal of this project is to develop a system that can clone a target speaker’s voice using a pre-trained multilingual TTS model, generate speech from arbitrary text in that speaker’s voice, and apply denoising techniques to improve audio quality. This enables the creation of synthetic speech that closely mimics the target speaker’s vocal identity while maintaining naturalness and clarity, addressing the dual challenges of speaker similarity and audio fidelity in TTS applications.