CLSDASOct 5, 2023

The North System for Formosa Speech Recognition Challenge 2023

arXiv:2310.03443v2133 citationsh-index: 2
Originality Synthesis-oriented
AI Analysis

This work addresses speech recognition for a low-resource language (Taiwanese Hakka), but it appears incremental as it focuses on system description without clear performance gains.

The paper tackled automatic word/syllable recognition for Taiwanese Hakka (Sixian) by proposing the North system, which involved data handling, model architecture, and hardware specifications, with a public demonstration available online.

This report provides a concise overview of the proposed North system, which aims to achieve automatic word/syllable recognition for Taiwanese Hakka (Sixian). The report outlines three key components of the system: the acquisition, composition, and utilization of the training data; the architecture of the model; and the hardware specifications and operational statistics. The demonstration of the system has been made public at https://asrvm.iis.sinica.edu.tw/hakka_sixian.

Foundations

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