A new universal language for speech recognition applications
نویسنده
چکیده
Automatic speech recognition systems are prone to errors when there are confusable words in the dictionary. Even human beings sometimes make errors when they have to choose between words like “fix” and “six”. The situation is worse for telephone conversation. Most unvoiced phonemes with low energy are lost in the background noise. In this paper, a new approach to the solution of this problem is proposed. The idea is to create a new language with words that are orthogonal to each other in the acoustic space. The suggestion in this paper is to limit the vocabulary of the new language to include only a few very essential words (i.e., digits, yes-no, etc.). In such a case the users may have the option of learning 1020 words in the new language and get better service in return, which may be preferred by some part of the population.
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