Comparison of parameters of vowel sounds of russian and english languages
This addresses a specific challenge in speech recognition systems for multilingual applications, but appears incremental as it focuses on parameter comparison without reported results.
The paper tackles the problem of building a generalized model for multilingual speech recognition when the language is unknown, by comparing phonetic parameters of vowel sounds in Russian and English to establish significant differences for correct recognition.
In multilingual speech recognition systems, a situation can often arise when the language is not known in advance, but the signal has already been received and is being processed. For such cases, some generalized model is needed that will be able to respond to phonetic differences and, depending on them, correctly recog-nize speech in the desired language. To build such a model, it is necessary to set the values of phonetic parameters, and then compare similar sounds, establishing significant differences.