conftrace_
← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8,255 papers

Papers per year

Papers

ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models INTERSPEECH 2024
AraOffence: Detecting Offensive Speech Across Dialects in Arabic Media INTERSPEECH 2024
Unified Audio Visual Cues for Target Speaker Extraction INTERSPEECH 2024
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline INTERSPEECH 2024
PRVAE-VC2: Non-Parallel Voice Conversion by Distillation of Speech Representations INTERSPEECH 2024
Knowledge Distillation from Self-Supervised Representation Learning Model with Discrete Speech Units for Any-to-Any Streaming Voice Conversion INTERSPEECH 2024
DiffVC+: Improving Diffusion-based Voice Conversion for Speaker Anonymization INTERSPEECH 2024
Learning from Back Chunks: Acquiring More Future Knowledge for Streaming ASR Models via Self Distillation INTERSPEECH 2024
Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization INTERSPEECH 2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models INTERSPEECH 2024
Self-Supervised Speech Representations are More Phonetic than Semantic INTERSPEECH 2024
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0 INTERSPEECH 2024
Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion INTERSPEECH 2024
Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings INTERSPEECH 2024
Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition INTERSPEECH 2024
On the social bias of speech self-supervised models INTERSPEECH 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English INTERSPEECH 2024
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? INTERSPEECH 2024
LoRA-MER: Low-Rank Adaptation of Pre-Trained Speech Models for Multimodal Emotion Recognition Using Mutual Information INTERSPEECH 2024
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations INTERSPEECH 2024
Self-Supervised Speaker Verification with Mini-Batch Prediction Correction INTERSPEECH 2024
SCDNet: Self-supervised Learning Feature based Speaker Change Detection INTERSPEECH 2024
Self-Supervised Learning with Multi-Head Multi-Mode Knowledge Distillation for Speaker Verification INTERSPEECH 2024
Robust Laughter Segmentation with Automatic Diverse Data Synthesis INTERSPEECH 2024
Towards generalisable and calibrated audio deepfake detection with self-supervised representations INTERSPEECH 2024