Search Results for author: Eesung Kim

Found 3 papers, 1 papers with code

Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning

no code implementations8 Apr 2022 Eesung Kim, Jae-Jin Jeon, Hyeji Seo, Hoon Kim

Self-supervised learning (SSL) approaches such as wav2vec 2. 0 and HuBERT models have shown promising results in various downstream tasks in the speech community.

Representation Learning Self-Supervised Learning

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech

2 code implementations31 Mar 2022 Dan Lim, Sunghee Jung, Eesung Kim

In neural text-to-speech (TTS), two-stage system or a cascade of separately learned models have shown synthesis quality close to human speech.

Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition

no code implementations2 Nov 2020 Jae-Jin Jeon, Eesung Kim

Recently, several types of end-to-end speech recognition methods named transformer-transducer were introduced.

speech-recognition Speech Recognition

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