activity
20222024
most citedUnsupervised data selection for Speech Recognition with contrastive loss ratios

10 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2024

EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

Ziyang Ma, Mingjie Chen, Hezhao Zhang +6

Speech emotion recognition (SER) is an important part of human-computer interaction, receiving extensive attention from both industry and academia. However, the current research fi…

eess.AS2024

1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem

Mingjie Chen, Hezhao Zhang, Yuanchao Li +11

Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and t…

cs.CL2024

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…

eess.AS2023

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…

eess.AS2022★ 10 cited

Unsupervised data selection for Speech Recognition with contrastive loss ratios

Chanho Park, Rehan Ahmad, Thomas Hain

This paper proposes an unsupervised data selection method by using a submodular function based on contrastive loss ratios of target and training data sets. A model using a contrast…