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IEEE ICASSP 2024

IEEE ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The IEEE ICASSP 2024 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit the website.

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[Poster] Contrastive Deep Nonnegative Matrix Factorization For Community Detection
[Poster] Contrastive Deep Nonnegative Matrix Factorization For Community Detection
ENHANCING NOISY LABEL LEARNING VIA UNSUPERVISED CONTRASTIVE LOSS WITH LABEL CORRECTION BASED ON PRIOR KNOWLEDGE
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data - Poster
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data - Presentation
TOWARDS MULTI-DOMAIN FACE LANDMARK DETECTION WITH SYNTHETIC DATA FROM DIFFUSION MODEL
[poster] Improving Design of Input Condition Invariant Speech Enhancement
[slides] Generation-Based Target Speech Extraction with Speech Discretization and Vocoder
UNIT-DSR: DYSARTHRIC SPEECH RECONSTRUCTION SYSTEM USING SPEECH UNIT NORMALIZATION
Poster
ENHANCING MULTILINGUAL TTS WITH VOICE CONVERSION BASED DATA AUGMENTATION AND POSTERIOR EMBEDDING
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval - Poster
MULTI-MODALITY ACTION RECOGNITION BASED ON DUAL FEATURE SHIFT IN VEHICLE CABIN MONITORING
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: From Algorithms to Technology
Training Ultra-Low-Latency Spiking Neural Networks from Scratch
EFFICIENT VIDEO AND AUDIO PROCESSING WITH LOIHI 2
BNMTRANS: A BRAIN NETWORK SEQUENCE-DRIVEN MANIFOLD-BASED TRANSFORMER FOR COGNITIVE IMPAIRMENT DETECTION USING EEG
Towards ASR robust spoken language understanding through in-context learning with word confusion networks
Common-slope modeling of late reverberation
VOXTLM: UNIFIED DECODER-ONLY MODELS FOR CONSOLIDATING SPEECH RECOGNITION, SYNTHESIS AND SPEECH, TEXT CONTINUATION TASKS

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