Speech frame implementation for speech analysis and recognition
This work addresses speech analysis for Russian speakers with emotional and health-related variations, but it appears incremental as it builds on existing frame concepts with added features.
The authors developed a speech frame for analysis and recognition that incorporates speaker emotional state, handles speech tract diseases, and includes manual segmentation of speech signals, specifically targeting Russian-language speech.
Distinctive features of the created speech frame are: the ability to take into account the emotional state of the speaker, sup-port for working with diseases of the speech-forming tract of speakers and the presence of manual segmentation of a num-ber of speech signals. In addition, the system is focused on Russian-language speech material, unlike most analogs.