This repository is the implementation of the paper, Hierarchical Pronunciation Assessment with Multi-Aspect Attention (ICASSP 2023).
Our code is based on the open source, https://github.com/YuanGongND/gopt (Gong et al, 2022).
An open source dataset, SpeechOcean762 (licenced with CC BY 4.0) is used. You can download it from https://www.openslr.org/101.
This bash script will run each model 5 times with ([0, 1, 2, 3, 4]).
cd src
bash run_hipama.sh
Note that every run does not produce the same results due to the random elements.
This bash script will run each model 5 times with ([0, 1, 2, 3, 4]).
cd src
bash my_run_gopt.sh
The base code provided is not able to generate results successfully. You can run the code file analysis.py
on the exp/
folder which gives the mean, std for phonemes, utterances and words.
@INPROCEEDINGS{10095733,
author={Do, Heejin and Kim, Yunsu and Lee, Gary Geunbae},
booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={Hierarchical Pronunciation Assessment with Multi-Aspect Attention},
year={2023},
volume={},
number={},
pages={1-5},
doi={10.1109/ICASSP49357.2023.10095733}}