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Speech Representation Learning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DuRep: Dual-Mode Speech Representation Learning via ASR-Aware Distillation
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
k2SSL: A Faster and Better Framework for Self-Supervised Speech Representation Learning
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
JOOCI: a Framework for Learning Comprehensive Speech Representations
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models
Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
Progressive Residual Extraction based Pre-training for Speech Representation Learning
Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation
Towards the Next Frontier in Speech Representation Learning Using Disentanglement
Towards Robust Speech Representation Learning for Thousands of Languages
mHuBERT-147: A Compact Multilingual HuBERT Model
Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge
XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning
The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective
Efficiency-oriented approaches for self-supervised speech representation learning
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion
Learning Disentangled Speech Representations
Privacy-preserving Representation Learning for Speech Understanding
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
Spatial HuBERT: Self-supervised Spatial Speech Representation Learning for a Single Talker from Multi-channel Audio
MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning
Evaluating Self-Supervised Speech Representations for Indigenous American Languages
Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning
Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods
MASR: Multi-label Aware Speech Representation
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Flowchase: a Mobile Application for Pronunciation Training
Label Aware Speech Representation Learning For Language Identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.