33 citations · 55 across the 11 of their papers we have counts for
9 papers · 1 filter
Aligning Speech to Languages to Enhance Code-switching Speech Recognition
Hexin Liu, Xiangyu Zhang, Haoyang Zhang +4
Code-switching (CS) refers to the switching of languages within a speech signal and results in language confusion for automatic speech recognition (ASR). To address language confus…
Enhancing Code-switching Speech Recognition with Interactive Language Biases
Hexin Liu, Leibny Paola Garcia, Xiangyu Zhang +2
Languages usually switch within a multilingual speech signal, especially in a bilingual society. This phenomenon is referred to as code-switching (CS), making automatic speech reco…
MERLIon CCS Challenge Evaluation Plan
Leibny Paola Garcia Perera, Y. H. Victoria Chua, Hexin Liu +5
This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing…
Investigating model performance in language identification: beyond simple error statistics
Suzy J. Styles, Victoria Y. H. Chua, Fei Ting Woon +5
Language development experts need tools that can automatically identify languages from fluent, conversational speech, and provide reliable estimates of usage rates at the level of…
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization
Victoria Y. H. Chua, Hexin Liu, Leibny Paola Garcia Perera +7
To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for sp…
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization
Hexin Liu, Haihua Xu, Leibny Paola Garcia +3
Code-switching (CS) refers to the phenomenon that languages switch within a speech signal and leads to language confusion for automatic speech recognition (ASR). This paper aims to…
PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification
Hexin Liu, Leibny Paola Garcia Perera, Andy W. H. Khong +2
We propose a novel model to hierarchically incorporate phoneme and phonotactic information for language identification (LID) without requiring phoneme annotations for training. In…
Enhance Language Identification using Dual-mode Model with Knowledge Distillation
Hexin Liu, Leibny Paola Garcia Perera, Andy W. H. Khong +3
In this paper, we propose to employ a dual-mode framework on the x-vector self-attention (XSA-LID) model with knowledge distillation (KD) to enhance its language identification (LI…
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures
Karn Watcharasupat, Anh H. T. Nguyen, Ching-Hui Ooi +1
In blind source separation of speech signals, the inherent imbalance in the source spectrum poses a challenge for methods that rely on single-source dominance for the estimation of…