论文解读
TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
脑编码 | 9.5/10
预训练
论文解读
A cross-species neural foundation model for end-to-end speech decoding
语音识别 | 8.0/10
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AVEX: What Matters for Animal Vocalization Encoding
生物声学 | 7.5/10
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Data-Centric Lessons To Improve Speech-Language Pretraining
语音问答 | 8.0/10
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From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
语音对话系统 | 7.5/10
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Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
多模态模型 | 7.5/10
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Latent Speech-Text Transformer
语音大模型 | 8.5/10
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PACE: Pretrained Audio Continual Learning
音频分类 | 8.5/10
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Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition
语音识别 | 8.5/10
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SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization
音频检索 | 7.5/10
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Towards True Speech-to-Speech Models Without Text Guidance
语音对话系统 | 9.1/10
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TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
脑编码 | 7.5/10
论文解读
UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice
语音翻译 | 7.5/10
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YuE: Scaling Open Foundation Models for Long-Form Music Generation
音乐生成 | 7.5/10
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BUT System Description for CHiME-9 MCoRec Challenge
语音识别 | 6.5/10
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Diffusion Reconstruction towards Generalizable Audio Deepfake Detection
音频深度伪造检测 | 7.5/10
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Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification
说话人验证 | 7.5/10
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Multimodal LLMs are not all you need for Pediatric Speech Language Pathology
语音分类 | 7.5/10
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Step-Audio-R1.5 Technical Report
语音对话系统 | 7.5/10
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A Study of Data Selection Strategies for Pre-Training Self-Supervised Speech Models
语音识别 | 7.5/10