Full Stack Speech Processing With Wav Lm: A Large-Scale Self-Supervised Pre-Training

Full Stack Speech Processing with Wav LM: a Large-Scale Self-Supervised Pre-Training (Paper Summary)

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Leveraging Pre-training Models for Speech Processing

Center for Language & Speech Processng (CLSP), JHU

The S3PRL Toolkit: Self-Supervised Speech Pre-training and Representation Learning (Feat. SUPERB) 4K

Injecting Text in Self-Supervised Speech Pre-Training (TTS4PreTrain)

Self-supervised pre-training for supervised ASR and unsupervised TTS in non-Western languages

MLSLP 2021 - part 1

Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations - Paper Explained

UniSpeech-SAT : Universal Speech Representation Learning with Speaker Aware Pre-Training

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training - (3 minutes introduc...

INTERSPEECH2021

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recog

Fall2022-SpeechRecognition&Understanding (Lecture 22 - Search)

Self-supervised Speech Representation Learning

Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models

NII Yamagishi Lab

Harvard Medical AI: Arvind Saligrama on "Rethinking Pre-training and Self-training"

Harvard Medical AI | Rajpurkar Lab

L18 Self Supervised Learning | Michael Auli | Deep Learning | Fall 2021

Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Rep...

INTERSPEECH2021