1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SD2025★ 1 cited
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma +22
Recent advancements in large language models (LLMs) have driven significant progress in zero-shot text-to-speech (TTS) synthesis. However, existing foundation models rely on multi-…
cs.CL2024★ 1 cited
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Luchang Li, Sheng Qian, Jie Lu +3
The Large Language Model (LLM) is widely employed for tasks such as intelligent assistants, text summarization, translation, and multi-modality on mobile phones. However, the curre…
cs.CL2022★ 1 cited
On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR
Zhao Yang, Dianwen Ng, Xiao Fu +5
End-to-end automatic speech recognition (ASR) has achieved promising results. However, most existing end-to-end ASR methods neglect the use of specific language characteristics. Fo…