13 citations · 35 across the 23 of their papers we have counts for
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cs.SD2024★ 3 cited
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
Xiong Wang, Yangze Li, Chaoyou Fu +5
Rapidly developing large language models (LLMs) have brought tremendous intelligent applications. Especially, the GPT-4o's excellent duplex speech interaction ability has brought i…
cs.SD2024
FreeCodec: A disentangled neural speech codec with fewer tokens
Youqiang Zheng, Weiping Tu, Yueteng Kang +5
Neural speech codecs have gained great attention for their outstanding reconstruction with discrete token representations. It is a crucial component in generative tasks such as spe…
cs.SD2024★ 1 cited
A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition
Yangze Li, Xiong Wang, Songjun Cao +3
Audio-LLM introduces audio modality into a large language model (LLM) to enable a powerful LLM to recognize, understand, and generate audio. However, during speech recognition in n…