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Found 17 papers, 3 papers with code
Detect Profane Language in Streaming Services to Protect Young Audiences
With the rapid growth of online video streaming, recent years have seen increasing concerns about profane language in their content.
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
After training, ThyGPT could automatically evaluate thyroid nodule and engage in effective communication with physicians through human-computer interaction.
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction
However, the effectiveness of these models is hindered in real-world scenarios due to the unreliable or even absence of pre-registered cues.
Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions
We introduce a novel dataset consisting of images depicting pink eggs that have been identified as Pomacea canaliculata eggs, accompanied by corresponding bounding box annotations.
Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge
Achieving 0. 446 in the final score and 0. 517 in the P. 835 score, our system ranks 4th in the non-real-time track.
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement
FullSubNet is our recently proposed real-time single-channel speech enhancement network that achieves outstanding performance on the Deep Noise Suppression (DNS) Challenge dataset.
AVT: Audio-Video Transformer for Multimodal Action Recognition
AVT uses a combination of video and audio signals to improve action recognition accuracy, leveraging the effective spatio-temporal representation by the video Transformer.
Ranked #4 on
Multi-modal Classification
on VGG-Sound
Multiscale Multimodal Transformer for Multimodal Action Recognition
In this work, we develop a multiscale multimodal Transformer (MMT) that employs hierarchical representation learning.
Ranked #1 on
Multi-modal Classification
on VGG-Sound
Scalable Temporal Localization of Sensitive Activities in Movies and TV Episodes
To help customers make better-informed viewing choices, video-streaming services try to moderate their content and provide more visibility into which portions of their movies and TV episodes contain age-appropriate material (e. g., nudity, sex, violence, or drug-use).
Coarse-to-Fine Recursive Speech Separation for Unknown Number of Speakers
This paper formulates the speech separation with the unknown number of speakers as a multi-pass source extraction problem and proposes a coarse-to-fine recursive speech separation method.
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
However, labeling individual scenes is a time-consuming process.
Deep-Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments
Computational spectroscopic instruments with Broadband Encoding Stochastic (BEST) filters allow the reconstruction of the spectrum at high precision with only a few filters.
Instrumentation and Detectors
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement
In our proposed FullSubNet, we connect a pure full-band model and a pure sub-band model sequentially and use practical joint training to integrate these two types of models' advantages.
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition
This approach consists of a generator network and a discriminator network, which operate directly in the time domain.
An Edge Information and Mask Shrinking Based Image Inpainting Approach
The mask shrinking strategy is employed in the image completion model to track the areas to be repaired.
SNR-Based Teachers-Student Technique for Speech Enhancement
Specifically, this method consists of multiple teacher models and a student model.
Sub-Band Knowledge Distillation Framework for Speech Enhancement
In single-channel speech enhancement, methods based on full-band spectral features have been widely studied.
