Technology-Enhanced Language Learning and Teaching

Speech Recognition (SR)

Speech Recognition is described as computer-based process during which oral

speech is decoded and transcribed. A typical SR system receives sound input through a microphone, analyzes it using a pattern, model, or algorithm, and produces an output, usually in the form of text.

SR technology can provide attractive opportunities for oral practice and developing speaking skills. SR has great potential for providing feedback, so it is combined with automatic correction and feedback (ACF) technology, so that students can develop more autonomous pronunciation.

Scholars proposed a system to provide oral practice of word order. The system used SR technology to process learners’ responses and to detect errors in order to provide immediate corrective feedback on learners’ errors. It was found that participants improved their proficiency in spoken skill of the target language.

Research also confirmed the effectiveness of using speech to text recognition (SR) technology in the language classroom. With SR support, language learners performed better on comprehension tests than those who did not. SR technology can also be combined with computer-aided-translation technology to support cross-cultural communication.

Research reported some problems associated with using SR technology, such as one’s accent, pronunciation, speed, or volume could cause low accuracy rates of SR.