Koichi Miyazaki — accepted AI-conference papers

2023

Structured State Space Decoder for Speech Recognition and Synthesis

Koichi Miyazaki, Masato Murata, Tomoki Koriyama

ICASSP 2023accepted

Automatic speech recognition (ASR) systems developed in recent years have shown promising results with self-attention models (e.g., Transformer and Conformer), which are replacing conventional recurrent neural networks. Meanwhile, a structured state space model (S4) has been recently proposed, produ…

Cited by 15 Source ↗Scholar ↗

2020

Weakly-Supervised Sound Event Detection with Self-Attention

Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda

ICASSP 2020accepted

In this paper, we propose a novel sound event detection (SED) method that incorporates a self-attention mechanism of the Transformer for a weakly-supervised learning scenario. The proposed method utilizes the Transformer encoder, which consists of multiple self-attention modules, allowing to take bo…

Cited by 77 Source ↗Scholar ↗