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Artificial intelligence is now closely related to our lives, and it represents the development path and direction in the post-internet era. AI is divided into five fields: natural language processing, computer vision, speech recognition, expert systems, and interdisciplinary fields.
Today, we will explore some interesting applications in the field of speech recognition~
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Nowadays, whether for adults or children, learning foreign languages mainly comes from classroom teaching or self-study. When learning a foreign language, one inevitably encounters problems. Many people wish they could have a robot teacher at home that understands what they say and can communicate in spoken language, especially since hiring foreign teachers can be expensive and their teaching methods may not suit everyone. This long-standing issue has greatly promoted an important technology—speech recognition.
What is Speech Recognition?
Speech recognition technology, also known as Automatic Speech Recognition (ASR), aims to convert the vocabulary content of human speech into computer-readable input. The fields involved in speech recognition technology include: signal processing, pattern recognition, probability theory and information theory, vocal mechanisms and auditory mechanisms, and artificial intelligence. It is a key link in human-computer natural interaction technology.
Currently, social software like WeChat and QQ includes a speech-to-text function, which is also an application of AI in speech recognition. Another interesting application in speech recognition is oral assessment.
Competition Results
Speech Assessment
Speech assessment technology is currently widely applied in spoken language learning. Initially, it referred to the use of intelligent algorithms to automatically evaluate the standard of learners’ pronunciation and diagnose pronunciation issues. As this technology has gained acceptance and moved into practical use, it has developed into an automatic speech assessment technology that encompasses multiple dimensions of speech, semantics, and expression with various question types.
Application Scenarios of Speech Assessment Technology
The application scenarios of speech assessment technology can be divided into language teaching, examinations, or integrated into entertaining educational products.
In Language Teaching: For example, in English learning, students can read sentences or words aloud, and the computer can provide feedback on overall scores and specific pronunciation issues, such as mispronouncing a certain phoneme.
In Examinations: The national English CET-4 and CET-6 oral exams, as well as Mandarin testing, were among the earliest to implement automated scoring using speech assessment technology. In recent years, attempts have been made to use this technology in high school entrance exams, such as the oral exam held in Zhanjiang, Guangdong in 2012.
In Entertaining Education: In the education sector, language learning products often focus on listening and speaking, emphasizing fun in product development. After integrating speech assessment technology into these entertaining educational products, some are incorporated into web platforms, while others are embedded in language learning apps or directly integrated into hardware products.
This concludes our exploration of speech recognition today. See you next time!
Some content in this article is sourced from publicly available information on the internet
