11 citations · 11 across the 12 of their papers we have counts for
5 papers · 1 filter
Qwen-Audio-3.1-ASR Technical Report
Chuanmeng Bian, Daren Chen, Peixin Chen +45
We present Qwen-Audio-3.1-ASR, a family of audio-language models that builds upon its predecesor Qwen-Audio-3.0-ASR with improved speech recognition and expanded capabilities in sp…
Qwen-Audio-Jev: A Unified Interface for Audio Decisions
Peixin Chen, Ying Fang, Zhifu Gao +19
Large audio language models (LALMs) have made substantial progress in audio understanding. However, autoregressive text generation introduces computational overhead and latency in…
Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation
Wupeng Wang, Zexu Pan, Xinke Li +2
Speech separation (SS) seeks to disentangle a multi-talker speech mixture into single-talker speech streams. Although SS can be generally achieved using offline methods, such a pro…
Context-Aware Two-Step Training Scheme for Domain Invariant Speech Separation
Wupeng Wang, Zexu Pan, Jingru Lin +2
Speech separation seeks to isolate individual speech signals from a multi-talk speech mixture. Despite much progress, a system well-trained on synthetic data often experiences perf…
Speech Separation with Pretrained Frontend to Minimize Domain Mismatch
Wupeng Wang, Zexu Pan, Xinke Li +2
Speech separation seeks to separate individual speech signals from a speech mixture. Typically, most separation models are trained on synthetic data due to the unavailability of ta…