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Krinal Joshi

krinal
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AI & ML interests

NLP, Speech

Recent Activity

reacted to alibabasglab's post with 👍 about 5 hours ago
We are thrilled to present the improved "ClearerVoice-Studio", an open-source platform designed to make speech processing easy use for everyone! Whether you’re 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, let’s push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
reacted to AdinaY's post with 🔥 about 5 hours ago
MiniCPM-o2.6 🔥 an end-side multimodal LLMs released by OpenBMB from the Chinese community Model: https://huggingface.co/openbmb/MiniCPM-o-2_6 ✨ Real-time English/Chinese conversation, emotion control and ASR/STT ✨ Real-time video/audio understanding ✨ Processes up to 1.8M pixels, leads OCRBench & supports 30+ languages
liked a model about 5 hours ago
openbmb/MiniCPM-o-2_6
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Audio Papers
Papers related to audio and music