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Found 8 papers, 0 papers with code
Generative manufacturing systems using diffusion models and ChatGPT
In this study, we introduce Generative Manufacturing Systems (GMS) as a novel approach to effectively manage and coordinate autonomous manufacturing assets, thereby enhancing their responsiveness and flexibility to address a wide array of production objectives and human preferences.
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
In this paper, we proposed a novel end-to-end self-organizing framework for user behavior prediction.
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream
Previous end-to-end SLU models are primarily used for English environment due to lacking large scale SLU dataset in Chines, and use only one ASR model to extract features from speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Themes Informed Audio-visual Correspondence Learning
The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Improving Embedding Extraction for Speaker Verification with Ladder Network
Speaker verification is an established yet challenging task in speech processing and a very vibrant research area.
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
It can be shown that SNN outperform the baseline by relative 26. 8 % Equal Error Rate (EER).
End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models
Recent advances in audiovisual speech processing using deep learning have opened opportunities to capture in a principled way the temporal relationships between acoustic and visual features.
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
In this study, we propose a new variation of LSTM, advanced LSTM (A-LSTM), for better temporal context modeling.
