12 citations · 22 across the 23 of their papers we have counts for
5 papers · 1 filter
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Chin Yuen Kwok, Jia Qi Yip, Zhen Qiu +2
Audio deepfake detection (ADD) models are commonly evaluated using datasets that combine multiple synthesizers, with performance reported as a single Equal Error Rate (EER). Howeve…
Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function
Chin Yuen Kwok, Jia Qi Yip, Eng Siong Chng
Rare word recognition can be improved by adapting ASR models to synthetic data that includes these words. Further improvements can be achieved through contextual biasing, which tra…
Efficient Trie-based Biasing using K-step Prediction for Rare Word Recognition
Chin Yuen Kwok, Jia Qi yip
Contextual biasing improves rare word recognition of ASR models by prioritizing the output of rare words during decoding. A common approach is Trie-based biasing, which gives "bonu…
Speechless: Speech Instruction Training Without Speech for Low Resource Languages
Alan Dao, Dinh Bach Vu, Huy Hoang Ha +6
The rapid growth of voice assistants powered by large language models (LLM) has highlighted a need for speech instruction data to train these systems. Despite the abundance of spee…
Continual Learning with Embedding Layer Surgery and Task-wise Beam Search using Whisper
Chin Yuen Kwok, Jia Qi Yip, Eng Siong Chng
Current Multilingual ASR models only support a fraction of the world's languages. Continual Learning (CL) aims to tackle this problem by adding new languages to pre-trained models…