Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations - Paper Explained скачать в хорошем качестве

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

In this video I explain the "Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations" paper by Facebook Artificial Intelligence Research (FAIR). Wav2Vec2 is a model that was pre-trained on unlabelled audio data using self-supersived contrastive learning and that can be fine-tuned on down-stream speech tasks like speech recognition. Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Connectionist Temporal Classification (CTC) Explained:    • Connectionist Temporal Classification (CTC...   Fourier Transform Explained:    • Fourier Transform Formula Explained   Transformer Attention Mechanism (Attention Is All You Need) - Explained:    • Transformer Self-Attention Mechanism Visua...   Mel Frequency Cepstral Coefficients (MFCC):    • Mel Frequency Cepstral Coefficients (MFCC)...   Spectral Features - Deltas and Delta-Deltas:    • Spectral Features - Deltas and Delta-Delta...   References ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations: https://arxiv.org/abs/2006.11477 Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:25 - Abstract 01:37 - Introduction 04:06 - Model architecture 07:46 - Training 10:52 - Evaluation 14:30 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #wav2vec2 #speechrecognition #transformers