Fish Audio Drama 3 Technical Report research paper by Fish Audio, 2026
Fish Audio · Multimodal and robotics · Oct 13, 2026 · 26 upvotes · unverified
What it shows
This paper introduces an open-source speech generation model capable of multi-turn performance, character-specific voice cloning, and real-time audio editing.
By Dawei Han, Shidong Li, Shijia Liao and 13 more · arXiv 2610.18010 · PDF
UnverifiedSummarised by a model from the abstract; not yet checked by hand.
More from Fish Audio
All 2Other multimodal and robotics papers
TopicSegment AnythingA promptable model and a dataset of over a billion masks that cut out any object in any image.
Meta16.8k citations6 upvotesRead →BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsBLIP-2 efficiently pre-trains vision-language models using off-the-shelf frozen encoders and decoders, achieving state-of-the-art performance with fewer parameters.
Salesforce9,805 citations3 upvotesRead →BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationBLIP, a Vision-Language Pre-training framework, improves performance across both understanding and generation tasks by bootstrapping captions from noisy web data, achieving state-of-the-art results on image-text retrieval, image captioning, and VQA, and showing strong generalization to video-language tasks.
Salesforce7,655 citations5 upvotesRead →GPT-4o System CardGPT-4o is an omnimodal autoregressive model trained to handle text, audio, image, and video inputs, offering high-performance outputs across these modalities, with particular strengths in vision and audio.
OpenAI5,388 citations88 upvotesRead →SAM 3: Segment Anything with ConceptsSegment Anything Model 3 achieves state-of-the-art performance in promptable concept segmentation and tracking by leveraging a unified model architecture with decoupled recognition and localization.
Meta1,466 citations138 upvotesRead →DeepSeek-VL: Towards Real-World Vision-Language UnderstandingDeepSeek-VL is an open-source vision-language model that achieves state-of-the-art performance in real-world applications by combining a hybrid vision encoder with effective pretraining strategies to preserve language model capabilities.
DeepSeek939 citations49 upvotesRead →
About this paper
- Citations
- Not counted yet · Semantic Scholar
- Upvotes
- 26 · Hugging Face
- Lab
- Fish Audio · on Companies · on Rounds · on labs · on Leaders · on Arena · on newsletters · on Paydays · on Releases · on repos · on socials · on terms
Changes
Hugging Face upvotes fell from 28 to 26.
Hugging Face upvotes fell from 33 to 28.
This paper introduces an open-source speech generation model capable of multi-turn performance, character-specific voice cloning, and real-time audio editing.
Moved from Foundation models to Multimodal and robotics.
Found by the weekly Hugging Face scan; not yet checked by hand.