Search Results for author: Andy W. H. Khong

Found 11 papers, 6 papers with code

Aligning Speech to Languages to Enhance Code-switching Speech Recognition

no code implementations9 Mar 2024 Hexin Liu, Xiangyu Zhang, Leibny Paola Garcia, Andy W. H. Khong, Eng Siong Chng, Shinji Watanabe

Performance evaluation using large language models reveals the advantage of the linguistic hint by achieving 14. 1% and 5. 5% relative improvement on test sets of the ASRU and SEAME datasets, respectively.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

MERLIon CCS Challenge Evaluation Plan

no code implementations31 May 2023 Leibny Paola Garcia Perera, Y. H. Victoria Chua, Hexin Liu, Fei Ting Woon, Andy W. H. Khong, Justin Dauwels, Sanjeev Khudanpur, Suzy J. Styles

This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing robust language identification and language diarization systems that are reliable for non-standard, accented, spontaneous code-switched, child-directed speech collected via Zoom.

Language Identification Task 2

Investigating model performance in language identification: beyond simple error statistics

no code implementations30 May 2023 Suzy J. Styles, Victoria Y. H. Chua, Fei Ting Woon, Hexin Liu, Leibny Paola Garcia Perera, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels

These overview metrics do not provide information about model performance at the level of individual speakers, recordings, or units of speech with different linguistic characteristics.

Language Identification

MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization

no code implementations30 May 2023 Victoria Y. H. Chua, Hexin Liu, Leibny Paola Garcia Perera, Fei Ting Woon, Jinyi Wong, Xiangyu Zhang, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles

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 speech processing models to be trained on datasets that feature diverse language registers and speech patterns.

Language Identification

Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization

1 code implementation26 Oct 2022 Hexin Liu, HaiHua Xu, Leibny Paola Garcia, Andy W. H. Khong, Yi He, Sanjeev Khudanpur

The comparison of the proposed methods indicates that incorporating language information is more effective than disentangling for reducing language confusion in CS speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification

1 code implementation23 Mar 2022 Hexin Liu, Leibny Paola Garcia Perera, Andy W. H. Khong, Suzy J. Styles, Sanjeev Khudanpur

We propose a novel model to hierarchically incorporate phoneme and phonotactic information for language identification (LID) without requiring phoneme annotations for training.

Language Identification

Enhance Language Identification using Dual-mode Model with Knowledge Distillation

1 code implementation7 Mar 2022 Hexin Liu, Leibny Paola Garcia Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur

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 (LID) performance for both long and short utterances.

Knowledge Distillation Language Identification

Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures

2 code implementations30 Jan 2021 Karn Watcharasupat, Anh H. T. Nguyen, Ching-Hui Ooi, Andy W. H. Khong

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 the mixing matrix.

Audio Source Separation blind source separation +2

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