Search Results for author: Shun-Po Chuang

Found 13 papers, 6 papers with code

ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection

no code implementations ICCV 2023 Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun

The results demonstrate that ImGeoNet outperforms the current state-of-the-art multi-view image-based method, ImVoxelNet, on all three datasets in terms of detection accuracy.

3D Object Detection object-detection

EURO: ESPnet Unsupervised ASR Open-source Toolkit

1 code implementation30 Nov 2022 Dongji Gao, Jiatong Shi, Shun-Po Chuang, Leibny Paola Garcia, Hung-Yi Lee, Shinji Watanabe, Sanjeev Khudanpur

This paper describes the ESPnet Unsupervised ASR Open-source Toolkit (EURO), an end-to-end open-source toolkit for unsupervised automatic speech recognition (UASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Anticipation-Free Training for Simultaneous Machine Translation

1 code implementation IWSLT (ACL) 2022 Chih-Chiang Chang, Shun-Po Chuang, Hung-Yi Lee

Existing methods increase latency or introduce adaptive read-write policies for SimulMT models to handle local reordering and improve translation quality.

Hallucination Machine Translation +2

Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation

1 code implementation Findings (ACL) 2021 Shun-Po Chuang, Yung-Sung Chuang, Chih-Chiang Chang, Hung-Yi Lee

We study the possibilities of building a non-autoregressive speech-to-text translation model using connectionist temporal classification (CTC), and use CTC-based automatic speech recognition as an auxiliary task to improve the performance.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training

1 code implementation29 Oct 2020 Sung-Feng Huang, Shun-Po Chuang, Da-Rong Liu, Yi-Chen Chen, Gene-Ping Yang, Hung-Yi Lee

Speech separation has been well developed, with the very successful permutation invariant training (PIT) approach, although the frequent label assignment switching happening during PIT training remains to be a problem when better convergence speed and achievable performance are desired.

Ranked #6 on Speech Separation on Libri2Mix (using extra training data)

Speaker Separation Speech Enhancement +1

Training a code-switching language model with monolingual data

no code implementations14 Nov 2019 Shun-Po Chuang, Tzu-Wei Sung, Hung-Yi Lee

A lack of code-switching data complicates the training of code-switching (CS) language models.

Language Modelling Translation +1

Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding

1 code implementation28 Oct 2019 Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-Yi Lee, Lin-shan Lee

This allows the decoder to consider the semantic consistency during decoding by absorbing the information carried by the transformed decoder feature, which is learned to be close to the target word embedding.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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