Papers

Filtered to audio processing · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

156 upvotes · 8 SEP 2026 · Ziyang Ma, Zhikang Niu, Wenming Tu et al.

This paper introduces AuK, an open-source model for speech generation and editing, which can perform a range of tasks with a single interface and achieves state-of-the-art performance on several tasks. Practitioners may care about this model for its potential to improve speech synthesis and editing capabilities in applications such as voice assistants and audio editing software.

speech generationspeech editingnatural language processingdeep learning modelsaudio processing

Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes

148 upvotes · 23 OCT 2026 · Wendi Sang, Kai Li, Yifan Li et al.

This paper improves the efficiency of extracting the target speaker from audio-visual data in real-world acoustic scenes, which is crucial for applications like voice assistants. Practitioners may care about this research if they work on latency-sensitive voice recognition systems.

audio-visual target speaker extractioncontinual learningcausal modelsaudio processingbenchmarks