Search Results for author: Wei-Cheng Tseng

Found 12 papers, 4 papers with code

Toward Robust Long Range Policy Transfer

no code implementations4 Mar 2021 Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun

We also design two regularization terms to improve the diversity and utilization rate of the primitives in the pre-training phase.

Membership Inference Attacks Against Self-supervised Speech Models

1 code implementation9 Nov 2021 Wei-Cheng Tseng, Wei-Tsung Kao, Hung-Yi Lee

Recently, adapting the idea of self-supervised learning (SSL) on continuous speech has started gaining attention.

Self-Supervised Learning

Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module

no code implementations14 Dec 2021 Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan, Min Sun

The number of agents can grow or an environment sometimes needs to interact with a changing number of agents in real-world scenarios.

Meta Reinforcement Learning reinforcement-learning +1

CLA-NeRF: Category-Level Articulated Neural Radiance Field

no code implementations1 Feb 2022 Wei-Cheng Tseng, Hung-Ju Liao, Lin Yen-Chen, Min Sun

We propose CLA-NeRF -- a Category-Level Articulated Neural Radiance Field that can perform view synthesis, part segmentation, and articulated pose estimation.

Inverse Rendering Object +1

SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks

1 code implementation31 Mar 2022 Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-Yi Lee

We report in this paper the first exploration of the prompt tuning paradigm for speech processing tasks based on Generative Spoken Language Model (GSLM).

Language Modelling Self-Supervised Learning

Ensemble knowledge distillation of self-supervised speech models

no code implementations24 Feb 2023 Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee

We tried two different aggregation techniques, layerwise-average and layerwise-concatenation, to the representations of different teacher models and found that the former was more effective.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks

no code implementations1 Mar 2023 Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-Yi Lee

For speech processing, SpeechPrompt shows its high parameter efficiency and competitive performance on a few speech classification tasks.

Ranked #17 on Spoken Language Understanding on Fluent Speech Commands (using extra training data)

Classification Language Modelling +1

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