The North System for Formosa Speech Recognition Challenge 2023
Li-Wei Chen, Kai-Chen Cheng, Hung-Shin Lee

TL;DR
This paper introduces the North system designed for Taiwanese Hakka speech recognition, detailing data collection, model architecture, and hardware, with a public demonstration available online.
Contribution
It presents a comprehensive system for Taiwanese Hakka speech recognition, including data handling, model design, and deployment details, advancing language-specific ASR technology.
Findings
System achieves automatic word/syllable recognition for Taiwanese Hakka
Details on training data acquisition and model architecture provided
System demonstration is publicly accessible
Abstract
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Speech Recognition and Synthesis
