Phoneme Segmentation Using Self-Supervised Speech Models

2 November 2022

Papers citing "Phoneme Segmentation Using Self-Supervised Speech Models"

5 / 5 papers shown

Title
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding Yingzhi Wang Abdelmoumene Boumadane A. Heba 53 151 0 04 Nov 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units Wei-Ning Hsu Benjamin Bolte Yao-Hung Hubert Tsai Kushal Lakhotia Ruslan Salakhutdinov Abdel-rahman Mohamed SSL 160 2,949 0 14 Jun 2021
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation Felix Kreuk Joseph Keshet Yossi Adi SSL 52 79 0 27 Jul 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 275 5,783 0 20 Jun 2020
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 103 3,150 0 01 Apr 2019