5 papers
FNH-TTS: Mixture-of-Experts Duration Modeling for Robust Neural Speech Synthesis
Qingliang Meng, Yuqing Deng, Wei Liang +3
Current non-autoregressive (NAR) text-to-speech (TTS) systems still struggle to model diverse and speaker-dependent duration variation. We further observe that richer duration vari…
FCPE: A Fast Context-based Pitch Estimation Model
Yuxin Luo, Ruoyi Zhang, Lu-Chuan Liu +2
Pitch estimation (PE) in monophonic audio is crucial for MIDI transcription and singing voice conversion (SVC), but existing methods suffer significant performance degradation unde…
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
Yujian Sun, Tian Li
As the Large Language Model (LLM) gains widespread adoption, increasing attention has been given to the challenge of making LLM forget non-compliant data memorized during its pre-t…
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning
Tian Li, Yujian Sun, Huizhi Liang
The SemEval-2025 Task 11, Bridging the Gap in Text-Based Emotion Detection, introduces an emotion recognition challenge spanning over 28 languages. This competition encourages rese…
MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems
Qingliang Meng, Pengju Ren, Tian Li +2
Automatic speech recognition (ASR) systems normally consist of an acoustic model (AM) and a language model (LM). The acoustic model estimates the probability distribution of text g…