Home › Audio Models › ClearerVoice-Studio

ClearerVoice-Studio - AI Audio Models Tool

Overview

ClearerVoice-Studio is an open-source AI speech processing toolkit providing pretrained models and utilities for speech enhancement, separation, super-resolution, and target speaker extraction. The repository offers tools to run inference and integrate state-of-the-art speech models into audio processing workflows.

Key Features

  • Open-source toolkit hosted on GitHub
  • Pretrained models for speech enhancement
  • Models for speech separation tasks
  • Audio super-resolution models
  • Target speaker extraction capabilities
  • Utilities to run inference and process audio

Ideal Use Cases

  • Improve noisy speech quality for downstream processing
  • Isolate individual speakers from mixed audio
  • Upsample low-resolution audio signals
  • Extract a target speaker from recordings
  • Prototype research and development for speech models

Getting Started

  • Visit the GitHub repository URL
  • Clone the ClearerVoice-Studio repository locally
  • Read the README and model documentation
  • Install dependencies listed in the repository
  • Run provided example scripts for a target task
  • Select an appropriate pretrained model for inference
  • Adapt configurations and fine-tune if required

Pricing

No pricing information disclosed. Project is open-source; check the repository for license and usage terms.

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
Visit Official Website

Related Tools

OpenVoice

OpenVoice is a versatile instant voice cloning framework that allows users to generate speech in multiple languages using only a short audio clip from a reference speaker. The tool provides granular control over voice styles, such as emotion, accent, rhythm, pauses, and intonation, and supports zero-shot cross-lingual voice cloning, enabling users to clone voices across different languages without needing training data for those languages.
WhisperX

WhisperX is an Automatic Speech Recognition (ASR) tool that provides fast and accurate transcriptions with word-level timestamps and speaker diarization features, enhancing the capabilities of OpenAI's Whisper model.
Parler-TTS

A text-to-speech inference and training library for generating high-fidelity speech from text, offering an open-source solution for TTS applications.
SpeechBrain

An all-in-one open-source conversational AI toolkit based on PyTorch offering speech recognition, text-to-speech, speaker recognition, and more.
Whisper Large

A robust speech recognition model based on a Transformer architecture that supports multilingual transcription, speech translation, and language identification.
Retrieval-based Voice Conversion WebUI

An open-source web UI that enables voice conversion using retrieval-based methods, offering configurable options and support for different models.