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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Neural Compression Augmentation for Contrastive Audio Representation Learning INTERSPEECH 2024
Linear-Complexity Self-Supervised Learning for Speech Processing INTERSPEECH 2024
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition INTERSPEECH 2024
Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content INTERSPEECH 2024
Spoken-Term Discovery using Discrete Speech Units INTERSPEECH 2024
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations INTERSPEECH 2024
OCEAN-AI: open multimodal framework for personality traits assessment and HR-processes automatization INTERSPEECH 2024
ASGIR: audio spectrogram transformer guided classification and information retrieval for birds INTERSPEECH 2024
The reasonable effectiveness of speaker embeddings for violence detection INTERSPEECH 2024
Multimodal Fusion of Music Theory-Inspired and Self-Supervised Representations for Improved Emotion Recognition INTERSPEECH 2024
Keep, Delete, or Substitute: Frame Selection Strategy for Noise-Robust Speech Emotion Recognition INTERSPEECH 2024
Specializing Self-Supervised Speech Representations for Speaker Segmentation INTERSPEECH 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification INTERSPEECH 2024
VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features INTERSPEECH 2024
A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection INTERSPEECH 2024
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality INTERSPEECH 2024
Learnable Layer Selection and Model Fusion for Speech Self-Supervised Learning Models INTERSPEECH 2024
mHuBERT-147: A Compact Multilingual HuBERT Model INTERSPEECH 2024
All Ears: Building Self-Supervised Learning based ASR models for Indian Languages at scale INTERSPEECH 2024
Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR INTERSPEECH 2024
EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios INTERSPEECH 2024
Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data INTERSPEECH 2024
Instruction Data Generation and Unsupervised Adaptation for Speech Language Models INTERSPEECH 2024
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval INTERSPEECH 2024
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding INTERSPEECH 2024