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ClearerVoice-Studio - AI Audio Models Tool

Overview

ClearerVoice-Studio is an open-source, AI-powered speech processing toolkit offering state-of-the-art pretrained models and utilities for speech enhancement, separation, super-resolution, and target speaker extraction. It provides researchers and developers with ready-to-run models and components to build audio-cleanup, speaker-isolation, and related processing pipelines.

Key Features

  • State-of-the-art pretrained speech models
  • Speech enhancement for noise reduction and clarity
  • Speech separation to isolate overlapping voices
  • Audio super-resolution to upsample low-quality audio
  • Target speaker extraction for isolating a specific voice
  • Utilities and components for integration into pipelines
  • Open-source codebase hosted on GitHub

Ideal Use Cases

  • Denoise and enhance podcast or broadcast recordings
  • Separate speakers in multi-party meeting audio
  • Upsample low-sample-rate recordings for clearer playback
  • Extract a target speaker for focused transcription
  • Research and experiment with speech-model architectures
  • Integrate speech-cleanup models into audio production pipelines

Getting Started

  • Visit the GitHub repository: https://github.com/modelscope/ClearerVoice-Studio
  • Read the repository README for installation and usage instructions
  • Install required Python packages and dependencies listed in the repo
  • Download or load pretrained models provided in the repository
  • Run included example scripts to process sample audio
  • Adapt models into your existing audio processing pipeline or research codebase

Pricing

Open-source project; repository does not list commercial pricing.

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
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