🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
✨Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis
📝 Summary:
Fish-Speech is a novel TTS framework using a Dual-AR architecture with GFSQ for efficient codebook processing and high-fidelity speech. It leverages LLMs for linguistic feature extraction, streamlining multilingual support by eliminating G2P. This significantly improves TTS for complex scenarios ...
🔹 Publication Date: Published on Nov 2, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2411.01156
• PDF: https://arxiv.org/pdf/2411.01156
• Github: https://github.com/fishaudio/fish-speech
🔹 Models citing this paper:
• https://huggingface.co/fishaudio/fish-speech-1.5
• https://huggingface.co/fishaudio/fish-speech-1.4
• https://huggingface.co/ModelsLab/fish-speech-1.5
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena
• https://huggingface.co/spaces/mediverseai/mediverse.ai
• https://huggingface.co/spaces/fishaudio/fish-agent
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#TextToSpeech #LLM #SpeechSynthesis #Multilingual #AI
📝 Summary:
Fish-Speech is a novel TTS framework using a Dual-AR architecture with GFSQ for efficient codebook processing and high-fidelity speech. It leverages LLMs for linguistic feature extraction, streamlining multilingual support by eliminating G2P. This significantly improves TTS for complex scenarios ...
🔹 Publication Date: Published on Nov 2, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2411.01156
• PDF: https://arxiv.org/pdf/2411.01156
• Github: https://github.com/fishaudio/fish-speech
🔹 Models citing this paper:
• https://huggingface.co/fishaudio/fish-speech-1.5
• https://huggingface.co/fishaudio/fish-speech-1.4
• https://huggingface.co/ModelsLab/fish-speech-1.5
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena
• https://huggingface.co/spaces/mediverseai/mediverse.ai
• https://huggingface.co/spaces/fishaudio/fish-agent
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#TextToSpeech #LLM #SpeechSynthesis #Multilingual #AI
arXiv.org
Fish-Speech: Leveraging Large Language Models for Advanced...
Text-to-Speech (TTS) systems face ongoing challenges in processing complex linguistic features, handling polyphonic expressions, and producing natural-sounding multilingual speech - capabilities...
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✨T5Gemma-TTS Technical Report
📝 Summary:
T5Gemma-TTS is an encoder-decoder codec language model that improves voice cloning and duration control for multilingual speech synthesis. It uses cross-attention for persistent text conditioning and Progress-Monitoring Rotary Position Embedding PM-RoPE for better target speech length tracking. I...
🔹 Publication Date: Published on Apr 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.01760
• PDF: https://arxiv.org/pdf/2604.01760
• Github: https://github.com/Aratako/T5Gemma-TTS
🔹 Models citing this paper:
• https://huggingface.co/Aratako/T5Gemma-TTS-2b-2b
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Aratako/T5Gemma-TTS-Demo
• https://huggingface.co/spaces/litagin/T5Gemma-TTS-Demo
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeechSynthesis #TTS #VoiceCloning #Multilingual #LanguageModels
📝 Summary:
T5Gemma-TTS is an encoder-decoder codec language model that improves voice cloning and duration control for multilingual speech synthesis. It uses cross-attention for persistent text conditioning and Progress-Monitoring Rotary Position Embedding PM-RoPE for better target speech length tracking. I...
🔹 Publication Date: Published on Apr 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.01760
• PDF: https://arxiv.org/pdf/2604.01760
• Github: https://github.com/Aratako/T5Gemma-TTS
🔹 Models citing this paper:
• https://huggingface.co/Aratako/T5Gemma-TTS-2b-2b
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Aratako/T5Gemma-TTS-Demo
• https://huggingface.co/spaces/litagin/T5Gemma-TTS-Demo
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeechSynthesis #TTS #VoiceCloning #Multilingual #LanguageModels