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Dekun Chen

4 accepted papers

2026

TTS Can Speak in Any Style with Any Voice

ICLR 2026poster

This study proposes FlexiVoice, a text-to-speech (TTS) synthesis system capable of flexible style control with zero-shot voice cloning. The speaking style is controlled by a natural-language instruction and the voice timbre is provided by a speech reference in zero-shot manner. FlexiVoice is built w…

Cited by 0SourcecodeScholar
2026

VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models

ICLR 2026poster

As Speech Language Models (SLMs) transition from personal devices to shared, multi-user environments such as smart homes, a new challenge emerges: the model is expected to distinguish between users to manage information flow appropriately. Without this capability, an SLM could reveal one user’s conf…

Cited by 0SourceScholar
2025

TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling

NeurIPS 2025poster

Speech tokenizers serve as foundational components for speech language models, yet current designs exhibit several limitations, including: (1) dependence on multi-layer residual vector quantization structures or high frame rates, (2) reliance on auxiliary pre-trained models for semantic distillatio…

Cited by 0SourcecodeScholar
2024

SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

NeurIPS 2024poster

Speech encompasses a wealth of information, including but not limited to content, paralinguistic, and environmental information. This comprehensive nature of speech significantly impacts communication and is crucial for human-computer interaction. Chat-Oriented Large Language Models (LLMs), known fo…