participants
Computational Intelligence Technology Center (CITC) is the first big data R&D center to bridge the big data technology across industries in Taiwan. CITC aims to develop intelligent analytics technologies to boost Artificial Intelligence and big data core capabilities for local IT software companies, also to apply intelligent analytics to help the related industries to enhance their productivity and create new business opportunities. The cross-disciplinary approach enables CITC’s core technology capabilities to provide intelligent analytics and machine learning algorithms that industries need. CITC develops an open Artificial Intelligence and big data platform to create solutions that facilitate the innovative application for service design and business model for industries.
Making machines understand the meanings of human speech has always been a common goal for industries and the academia. The techniques of speech recognition has been studied for a few decades, and has kept gaining momentum as the innovation in artificial intelligence grew significantly. Will there be more breakthroughs in speech recognition of Mandarin Chinese? Come participate in this challenge and show that you are an expert in speech recognition of Mandarin Chinese!
The data set of this topic is selected from “artificial intelligent voice data” released by the Ministry of Science and Technology (MOST). It contains four Classic Chinese Novels: Dream of the Red Chamber, Romance of the Three Kingdoms, Journey to the West and Water Margin, as well as traffic reports by the Police Broadcasting Service (Pbs), the news broadcasted by National Education Radio, etc. There are 8 categories, and the participants should utilize speech recognition techniques to determine the category of each file.
Source of the materials: Artificial intelligent voice data
Ask HR for details.
After classification models of defect prediction are offered by researchers participating in the issue, the back-end of the system would process them in bathces regularly to calculate the score. Evaluations are conducted by calculating the corresponding accuracy rate of the actual value.
The following is the formula:
$$Accuracy = {\text{Number of correct predictions} \over \text{Number of total predictions}}$$
