Search Results for author: Junrui Ni

Found 3 papers, 3 papers with code

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers

1 code implementation • 20 Apr 2022 • Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David Cox, Mark Hasegawa-Johnson, Shiyu Chang

Self-supervised learning in speech involves training a speech representation network on a large-scale unannotated speech corpus, and then applying the learned representations to downstream tasks.

Disentanglement Self-Supervised Learning

414

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Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition

1 code implementation • 29 Mar 2022 • Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

An unsupervised text-to-speech synthesis (TTS) system learns to generate speech waveforms corresponding to any written sentence in a language by observing: 1) a collection of untranscribed speech waveforms in that language; 2) a collection of texts written in that language without access to any transcribed speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models

1 code implementation • 29 Mar 2022 • Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

We show that WavPrompt is a few-shot learner that can perform speech understanding tasks better than a naive text baseline.

Few-Shot Learning Language Modelling +1

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