6 citations · 13 across the 7 of their papers we have counts for
7 papers
LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks
Hengjian Gao, Kaiwei Zhang, Shibo Wang +8
The rapid progress of Multimodal Large Language Models (MLLMs) marks a significant step toward artificial general intelligence, offering great potential for augmenting human capabi…
Automatic Speech Recognition System-Independent Word Error Rate Estimation
Chanho Park, Mingjie Chen, Thomas Hain
Word error rate (WER) is a metric used to evaluate the quality of transcriptions produced by Automatic Speech Recognition (ASR) systems. In many applications, it is of interest to…
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text
Chanho Park, Chengsong Lu, Mingjie Chen +1
Word error rate (WER) estimation aims to evaluate the quality of an automatic speech recognition (ASR) system's output without requiring ground-truth labels. This task has gained i…
Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution
Mingjie Chen, Yanghao Zhou, Heyan Huang +1
It was shown recently that a combination of ASR and TTS models yield highly competitive performance on standard voice conversion tasks such as the Voice Conversion Challenge 2020 (…
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model
Yanpei Shi, Mingjie Chen, Qiang Huang +1
Identifying multiple speakers without knowing where a speaker's voice is in a recording is a challenging task. This paper proposes a hierarchical network with transformer encoders…
Towards Low-Resource StarGAN Voice Conversion using Weight Adaptive Instance Normalization
Mingjie Chen, Yanpei Shi, Thomas Hain
Many-to-many voice conversion with non-parallel training data has seen significant progress in recent years. StarGAN-based models have been interests of voice conversion. However,…