GLM-4-Voice
PulseAugur coverage of GLM-4-Voice — every cluster mentioning GLM-4-Voice across labs, papers, and developer communities, ranked by signal.
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ParaGeo method decomposes speech variation in GLM-4-Voice
Researchers have developed ParaGeo, a novel method for decomposing paralinguistic variations in speech within a frozen speech language model. This technique separates variations related to the requested paralinguistic a…
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GLM-4-Voice uses RL to achieve state-of-the-art spoken math reasoning
Researchers have applied reinforcement learning to the GLM-4-Voice speech model to improve its mathematical reasoning capabilities. After supervised fine-tuning on spoken question-answering data, the model showed improv…
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New research tackles multilingual AI efficiency and capabilities
Researchers are developing new methods to improve the efficiency and capabilities of multilingual AI models. One study explores token merging for multilingual speech recognition, showing it can significantly reduce comp…
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BayLing-Duplex enables native full-duplex speech dialogue with single LLM
Researchers have developed BayLing-Duplex, a novel full-duplex speech language model that enables simultaneous listening and speaking without relying on external turn-taking modules. This single autoregressive LLM can m…