Name
Abstract | ||
|---|---|---|
Taiwanese (a.k.a. Taiwanese Hokkien, Hoklo, Taigi, Southern Min or Min-Nan) is an endangered language, because the domination of Mandarin, the number of Taiwanese speakers continues to drop, especially among the youth generations. In addressing this problem, a Taiwanese speech-enabled human-computer interface for supporting people's daily life is essential. Therefore, a Formosa Speech in the Wild (FSW) project was established to collect a large-scale Taiwanese speech across Taiwan (TAT) corpus to boost the development of Taiwanese speech recognition (TSR). A Formosa Speech Recognition Challenge 2020 (FSR-2020) was also hosted to promote the corpus as well as to evaluate the performance of state-of-the-art TSR systems. This paper briefly introduces TAT corpus and FSR-2020 challenge, presents the provided data profile, evaluation plan and reports experimental baseline results. A subset of TAT corpus, TAT-Vol1, is given away for free for all participants (non-commercial license), and its corresponding Kaldi baseline recipes have been published online. Experimental results have showed that the combination of TAT corpus and the baseline recipes is a good resource pack for TSR research and development. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/O-COCOSDA50338.2020.9295019 | 2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA) |
Keywords | DocType | ISSN |
Taiwanese across Taiwan Corpus,Formosa Speech Recognition Challenge 2020,Taiwanese Speech Recognition,Machine learning | Conference | 2163-3479 |
ISBN | Citations | PageRank |
978-1-7281-9897-2 | 0 | 0.34 |
References | Authors | |
1 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan-Fu Liao | 1 | 0 | 0.34 |
| Chia-Yu Chang | 2 | 0 | 0.34 |
| Hak-Khiam Tiun | 3 | 0 | 0.34 |
| Huang-Lan Su | 4 | 0 | 0.34 |
| Hui-Lu Khoo | 5 | 0 | 0.34 |
| Jane S. Tsay | 6 | 0 | 0.34 |
| Le-Kun Tan | 7 | 0 | 0.34 |
| Peter Kang | 8 | 0 | 0.34 |
| Tsun-guan Thiann | 9 | 0 | 0.34 |
| Un-Gian Iunn | 10 | 0 | 0.34 |
| Jyh-Her Yang | 11 | 0 | 0.34 |
| Chih-Neng Liang | 12 | 0 | 0.34 |