no code implementations • 1 Apr 2021 • Minchan Kim, Sung Jun Cheon, Byoung Jin Choi, Jong Jin Kim, Nam Soo Kim
In this work, we propose StyleTagging-TTS (ST-TTS), a novel expressive TTS model that utilizes a style tag written in natural language.
no code implementations • 29 Mar 2022 • Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Sunghwan Ahn, Joun Yeop Lee, Nam Soo Kim
The experimental results verify the effectiveness of the proposed method in terms of naturalness, intelligibility, and speaker generalization.
no code implementations • 17 Aug 2022 • Sung Hwan Mun, Min Hyun Han, Minchan Kim, Dongjune Lee, Nam Soo Kim
The experimental results show that fine-tuning with a disentanglement framework on a existing pre-trained model is valid and can further improve performance.
no code implementations • 6 Oct 2022 • Dongjune Lee, Minchan Kim, Sung Hwan Mun, Min Hyun Han, Nam Soo Kim
For training a few-shot keyword spotting (FS-KWS) model, a large labeled dataset containing massive target keywords has known to be essential to generalize to arbitrary target keywords with only a few enrollment samples.
no code implementations • 12 Oct 2022 • Byoung Jin Choi, Myeonghun Jeong, Minchan Kim, Sung Hwan Mun, Nam Soo Kim
Several recently proposed text-to-speech (TTS) models achieved to generate the speech samples with the human-level quality in the single-speaker and multi-speaker TTS scenarios with a set of pre-defined speakers.
no code implementations • 14 Jun 2023 • Ji Won Yoon, Sunghwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim
We introduce EM-Network, a novel self-distillation approach that effectively leverages target information for supervised sequence-to-sequence (seq2seq) learning.
no code implementations • 6 Nov 2023 • Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Dongjune Lee, Nam Soo Kim
We introduce a text-to-speech(TTS) framework based on a neural transducer.
no code implementations • 2 Jan 2024 • Myeonghun Jeong, Minchan Kim, Joun Yeop Lee, Nam Soo Kim
We present a fast and high-quality codec language model for parallel audio generation.
no code implementations • 3 Jan 2024 • Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Semin Kim, Joun Yeop Lee, Nam Soo Kim
We also delve into the inference speed and prosody control capabilities of our approach, highlighting the potential of neural transducers in TTS frameworks.
no code implementations • 24 Mar 2024 • Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang
Subsequently, ESREAL computes token-level hallucination scores by assessing the semantic similarity of aligned regions based on the type of hallucination.