4 papers
Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models
Jaehoon Kang, Yejin Lee, Yoonji Park +1
While prompt-based text-to-speech (TTS) models enable natural language-driven speaking style control, they often provide limited fine-grained control and apply a single global styl…
DialBGM: A Benchmark for Background Music Recommendation from Everyday Multi-Turn Dialogues
Joonhyeok Shin, Jaehoon Kang, Yujun Lee +4
Selecting an appropriate background music (BGM) that supports natural human conversation is a common production step in media and interactive systems. In this paper, we introduce d…
Whisper-CD: Accurate Long-Form Speech Recognition using Multi-Negative Contrastive Decoding
Hoseong Ahn, Jeongyun Chae, Yoonji Park +1
Long-form speech recognition with large encoder-decoder models such as Whisper often exhibit hallucinations, repetition loops, and content omissions. These errors can accumulate an…
Detoxifying Language Models with a Toxic Corpus
Yoon A Park, Frank Rudzicz
Existing studies have investigated the tendency of autoregressive language models to generate contexts that exhibit undesired biases and toxicity. Various debiasing approaches have…