4 papers
FreeRide: Harvesting Bubbles in Pipeline Parallelism
Jiashu Zhang, Zihan Pan, Molly +3
The occurrence of bubbles in pipeline parallelism is an inherent limitation that can account for more than 40% of the large language model (LLM) training time and is one of the mai…
Towards Quantifying and Reducing Language Mismatch Effects in Cross-Lingual Speech Anti-Spoofing
Tianchi Liu, Ivan Kukanov, Zihan Pan +3
The effects of language mismatch impact speech anti-spoofing systems, while investigations and quantification of these effects remain limited. Existing anti-spoofing datasets are m…
Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024
Anmol Guragain, Tianchi Liu, Zihan Pan +2
This work details our approach to achieving a leading system with a 1.79% pooled equal error rate (EER) on the evaluation set of the Controlled Singing Voice Deepfake Detection (Ct…
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection
Zihan Pan, Tianchi Liu, Hardik B. Sailor +1
Self-supervised learning (SSL) speech representation models, trained on large speech corpora, have demonstrated effectiveness in extracting hierarchical speech embeddings through m…