Search Results for author: Chia-Ping Chen

Found 34 papers, 4 papers with code

Development of Mandarin-English code-switching speech synthesis system

no code implementations ROCLING 2022 Hsin-Jou Lien, Li-Yu Huang, Chia-Ping Chen

To focus on learning the content information between two languages, the training dataset is multilingual artificial dataset whose speaker style is unified.

Sentence Speech Synthesis

Lightweight Sound Event Detection Model with RepVGG Architecture

no code implementations ROCLING 2022 Chia-Chuan Liu, Sung-Jen Huang, Chia-Ping Chen, Chung-Li Lu, Bo-Cheng Chan, Yu-Han Cheng, Hsiang-Feng Chuang, Wei-Yu Chen

The proposed system achieves PSDS (Polyphonic sound event detection score)-scenario 1, 2 of 40. 8% and 67. 7% outperforms the baseline system of 34. 4% and 57. 2% on the DCASE 2022 Task4 validation dataset.

Event Detection Knowledge Distillation +1

Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems

no code implementations ROCLING 2021 Hou-An Lin, Chia-Ping Chen

We utilize the Transformer end-to-end model to develop our code switching speech recognition system, which is trained with the Mandarin dataset and a small amount of Mandarin-English code switching dataset, as the baseline of this paper.

Language Modelling Multi-Task Learning +2

Denoising Likelihood Score Matching for Conditional Score-based Data Generation

2 code implementations ICLR 2022 Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

These methods facilitate the training procedure of conditional score models, as a mixture of scores can be separately estimated using a score model and a classifier.

Image Generation

Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision

1 code implementation ICCV 2021 Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou

In this paper, we propose a method to estimate not only a depth map but an AiF image from a set of images with different focus positions (known as a focal stack).

Depth Estimation

Explorable Tone Mapping Operators

no code implementations20 Oct 2020 Chien-Chuan Su, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Soo-Chang Pei

It aims to preserve visual information of HDR images in a medium with a limited dynamic range.

Tone Mapping

Learning Camera-Aware Noise Models

1 code implementation ECCV 2020 Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen

Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications.

Noise Estimation

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