When the dialect meets the AI, will the intelligent voice assistant be defeated by the dialect?
Speech recognition technology has been evolving since the release of IBM's Shoebox and Worlds of Wonder doll Julie doll. By the end of 2018, Google Assistant supports more than 30 different languages. Qualcomm has also developed a speech recognition system that recognizes words and phrases with an accuracy rate of 95%. In addition, Microsoft's intelligent voice service is more accurate and efficient than manual call services. However, although machine learning has made the development of speech recognition technology soaring, these speech recognition systems are still not perfect, and the most serious problem is geographical discrimination. According to a recent study by the Washington Post, popular smart voice assistants developed by Google and Amazon recognize non-US local accents with a 30% lower accuracy than US local accents. Companies like IBM and Microsoft use the Switchboard corpus to reduce the voice assistant's error rate. But it turns out that the...