59 citations · 89 across the 17 of their papers we have counts for
17 papers
Towards Generalizability to Tone and Content Variations in the Transcription of Amplifier Rendered Electric Guitar Audio
Yu-Hua Chen, Yuan-Chiao Cheng, Yen-Tung Yeh +3
Transcribing electric guitar recordings is challenging due to the scarcity of diverse datasets and the complex tone-related variations introduced by amplifiers, cabinets, and effec…
Demo of Zero-Shot Guitar Amplifier Modelling: Enhancing Modeling with Hyper Neural Networks
Yu-Hua Chen, Yuan-Chiao Cheng, Yen-Tung Yeh +4
Electric guitar tone modeling typically focuses on the non-linear transformation from clean to amplifier-rendered audio. Traditional methods rely on one-to-one mappings, incorporat…
Towards zero-shot amplifier modeling: One-to-many amplifier modeling via tone embedding control
Yu-Hua Chen, Yen-Tung Yeh, Yuan-Chiao Cheng +4
Replicating analog device circuits through neural audio effect modeling has garnered increasing interest in recent years. Existing work has predominantly focused on a one-to-one em…
Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data
Yu-Hua Chen, Woosung Choi, Wei-Hsiang Liao +5
Recent years have seen increasing interest in applying deep learning methods to the modeling of guitar amplifiers or effect pedals. Existing methods are mainly based on the supervi…
WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories
Te-Yu Chi, Yu-Meng Tang, Chia-Wen Lu +2
Our research focuses on solving the zero-shot text classification problem in NLP, with a particular emphasis on innovative self-training strategies. To achieve this objective, we p…
Personalized Audio Quality Preference Prediction
Chung-Che Wang, Yu-Chun Lin, Yu-Teng Hsu +1
This paper proposes to use both audio input and subject information to predict the personalized preference of two audio segments with the same content in different qualities. A sia…
Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection
Xuanjun Chen, Haibin Wu, Helen Meng +2
Audio-visual active speaker detection (AVASD) is well-developed, and now is an indispensable front-end for several multi-modal applications. However, to the best of our knowledge,…
Multimodal Transformer Distillation for Audio-Visual Synchronization
Xuanjun Chen, Haibin Wu, Chung-Che Wang +2
Audio-visual synchronization aims to determine whether the mouth movements and speech in the video are synchronized. VocaLiST reaches state-of-the-art performance by incorporating…
Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification
Yen-Lun Liao, Xuanjun Chen, Chung-Che Wang +1
The countermeasure (CM) model is developed to protect ASV systems from spoof attacks and prevent resulting personal information leakage in Automatic Speaker Verification (ASV) syst…
towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model
Yu-Hua Chen, Wen-Yi Hsiao, Tsu-Kuang Hsieh +2
In this paper, we propose a new dataset named EGDB, that con-tains transcriptions of the electric guitar performance of 240 tab-latures rendered with different tones. Moreover, we…
k-Same-Siamese-GAN: k-Same Algorithm with Generative Adversarial Network for Facial Image De-identification with Hyperparameter Tuning and Mixed Precision Training
Yi-Lun Pan, Min-Jhih Huang, Kuo-Teng Ding +2
For a data holder, such as a hospital or a government entity, who has a privately held collection of personal data, in which the revealing and/or processing of the personal identif…
Learning to match transient sound events using attentional similarity for few-shot sound recognition
Szu-Yu Chou, Kai-Hsiang Cheng, Jyh-Shing Roger Jang +1
In this paper, we introduce a novel attentional similarity module for the problem of few-shot sound recognition. Given a few examples of an unseen sound event, a classifier must be…
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang +1
Can we make a famous rap singer like Eminem sing whatever our favorite song? Singing style transfer attempts to make this possible, by replacing the vocal of a song from the source…
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products
Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang +1
Vector-valued neural learning has emerged as a promising direction in deep learning recently. Traditionally, training data for neural networks (NNs) are formulated as a vector of s…
SVSGAN: Singing Voice Separation via Generative Adversarial Network
Zhe-Cheng Fan, Yen-Lin Lai, Jyh-Shing Roger Jang
Separating two sources from an audio mixture is an important task with many applications. It is a challenging problem since only one signal channel is available for analysis. In th…
Music Signal Processing Using Vector Product Neural Networks
Z. C. Fan, T. S. Chan, Y. H. Yang +1
We propose a novel neural network model for music signal processing using vector product neurons and dimensionality transformations. Here, the inputs are first mapped from real val…
A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems
Hamid R. Berenji, Yung-Yaw Chen, Chuen-Chien Lee +2
This paper presents a new technique for the design of approximate reasoning based controllers for dynamic physical systems with interacting goals. In this approach, goals are achie…