1 citations · 1 across the 8 of their papers we have counts for
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D2: High-Capability Full-Duplex Spoken Language Models from Half-Duplex Backbones
Cheng-Kuang Chang, Alexander H. Liu, Brian Kingsbury +5
Full-duplex spoken language models (FD-SLMs) support simultaneous listening and speaking, but often lag behind half-duplex spoken language models (HD-SLMs) in general capabilities.…
Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering
Cheng-Kuang Chang, Kai-Wei Chang, Alexander H. Liu +1
Full-duplex spoken language models (FD-SLMs) enable seamless speech interaction by allowing models to listen and speak simultaneously, yet the internal mechanism by which they coor…
USAD 2.0: Scaling Representation Distillation for Universal Audio Understanding
Heng-Jui Chang, Alexander H. Liu, Saurabhchand Bhati +4
Audio encoders are critical to modern audio applications as large language models (LLMs) increasingly rely on a single encoder for diverse inputs. While self-supervised learning (S…
Voxtral Realtime
Mistral-AI, :, Alexander H. Liu +166
We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline transcription quality at sub-second latency. Unlike approaches that adap…