4 papers
Mandarin Humorous Homophone Recognition and Disambiguation in Automatic Speech Recognition
Sicheng Jin, Jinghao Chen, Liuheng Zhou +3
Mandarin homophones remain a key challenge to improving automatic speech recognition (ASR) accuracy due to the amount of potential homophones. Mandarin speakers use this feature ca…
Same Model, Different Weakness: How Language and Modality Reshape the Jailbreak Attack Surface in Frontier MLLMs
Casey Ford, Madison Van Doren, Sicheng Jin +1
The attack surface of a multimodal large language model (MLLM) is language-dependent in ways that reveal the mechanistic structure of alignment failures. We present the first syste…
PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions
Sicheng Jin, Dipankar Srirag, Aditya Joshi
While modern Automatic Speech Recognition (ASR) systems achieve high accuracy on benchmark corpora, their performance often degrades when there is real-world variability. This work…
Attention based on-device streaming speech recognition with large speech corpus
Kwangyoun Kim, Kyungmin Lee, Dhananjaya Gowda +10
In this paper, we present a new on-device automatic speech recognition (ASR) system based on monotonic chunk-wise attention (MoChA) models trained with large (> 10K hours) corpus.…