Running
on
Zero
3
π
ClearerVoice-Studio (Speech Super Resolution)
Better AI powered platform to purify your speech signal
Alibaba_Speech_Lab_SG PRO
alibabasglab
AI & ML interests
speech enhancement, separation, and codec
Recent Activity
updated
a Space
about 4 hours ago
alibabasglab/ClearVoice-SR
liked
a dataset
1 day ago
alibabasglab/LJSpeech-1.1-48kHz
posted
an
update
1 day ago
We are thrilled to present the improved "ClearerVoice-Studio", an open-source platform designed to make speech processing easy use for everyone! Whether youβre working on speech enhancement, speech separation, speech super-resolution, or target speaker extraction, this unified platform has you covered.
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space (https://huggingface.co/spaces/alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from https://huggingface.co/datasets/alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, letβs push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
Organizations
alibabasglab's activity
updated
a
Space
about 4 hours ago
liked
a
dataset
1 day ago
posted
an
update
1 day ago
Post
1513
We are thrilled to present the improved "ClearerVoice-Studio", an open-source platform designed to make speech processing easy use for everyone! Whether youβre working on speech enhancement, speech separation, speech super-resolution, or target speaker extraction, this unified platform has you covered.
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, letβs push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, letβs push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
updated
a
dataset
2 days ago
reacted to
their
post with π
2 days ago
Post
5022
π ClearerVoice-Studio New Feature: Speech Super-Resolution with MossFormer2 ! π
Weβre excited to announce that ClearerVoice-Studio now supports speech super-resolution, powered by our latest MossFormer2-based model!
Whatβs New?
π Convert Low-Resolution to High-Resolution Audio:
Transform low-resolution audio (effective sampling rate β₯ 16 kHz) into crystal-clear, high-resolution audio at 48 kHz.
π€ Cutting-Edge Technology:
Leverages the MossFormer2 model plus HiFi-GAN, optimised for generating high-quality audio with enhanced perceptual clarity.
π§ Enhanced Listening Experience:
Perfect for speech enhancement, content restoration, and high-fidelity audio applications.
π Try It Out!
Upgrade to the latest version of ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio) to experience this powerful feature. Check out the updated documentation and examples in our repository.
Let us know your thoughts, feedback, or feature requests in the Issues section.
Weβre excited to announce that ClearerVoice-Studio now supports speech super-resolution, powered by our latest MossFormer2-based model!
Whatβs New?
π Convert Low-Resolution to High-Resolution Audio:
Transform low-resolution audio (effective sampling rate β₯ 16 kHz) into crystal-clear, high-resolution audio at 48 kHz.
π€ Cutting-Edge Technology:
Leverages the MossFormer2 model plus HiFi-GAN, optimised for generating high-quality audio with enhanced perceptual clarity.
π§ Enhanced Listening Experience:
Perfect for speech enhancement, content restoration, and high-fidelity audio applications.
π Try It Out!
Upgrade to the latest version of ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio) to experience this powerful feature. Check out the updated documentation and examples in our repository.
Let us know your thoughts, feedback, or feature requests in the Issues section.
posted
an
update
2 days ago
Post
5022
π ClearerVoice-Studio New Feature: Speech Super-Resolution with MossFormer2 ! π
Weβre excited to announce that ClearerVoice-Studio now supports speech super-resolution, powered by our latest MossFormer2-based model!
Whatβs New?
π Convert Low-Resolution to High-Resolution Audio:
Transform low-resolution audio (effective sampling rate β₯ 16 kHz) into crystal-clear, high-resolution audio at 48 kHz.
π€ Cutting-Edge Technology:
Leverages the MossFormer2 model plus HiFi-GAN, optimised for generating high-quality audio with enhanced perceptual clarity.
π§ Enhanced Listening Experience:
Perfect for speech enhancement, content restoration, and high-fidelity audio applications.
π Try It Out!
Upgrade to the latest version of ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio) to experience this powerful feature. Check out the updated documentation and examples in our repository.
Let us know your thoughts, feedback, or feature requests in the Issues section.
Weβre excited to announce that ClearerVoice-Studio now supports speech super-resolution, powered by our latest MossFormer2-based model!
Whatβs New?
π Convert Low-Resolution to High-Resolution Audio:
Transform low-resolution audio (effective sampling rate β₯ 16 kHz) into crystal-clear, high-resolution audio at 48 kHz.
π€ Cutting-Edge Technology:
Leverages the MossFormer2 model plus HiFi-GAN, optimised for generating high-quality audio with enhanced perceptual clarity.
π§ Enhanced Listening Experience:
Perfect for speech enhancement, content restoration, and high-fidelity audio applications.
π Try It Out!
Upgrade to the latest version of ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio) to experience this powerful feature. Check out the updated documentation and examples in our repository.
Let us know your thoughts, feedback, or feature requests in the Issues section.
updated
a
dataset
2 days ago
updated
a
model
5 days ago
updated
a
dataset
5 days ago
updated
a
model
5 days ago
updated
2
Spaces
16 days ago