Title :
Evaluation of the effect of stress on formants in Farsi vowels
Author :
Gharavian, D. ; Ahadi, S.M.
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
Stress is known as an important prosodic property of speech. Recognition of stressed speech, due to the effects of stress on acoustic features of speech, has always been considered more difficult, in comparison to unstressed speech. On the other hand, preparing a large speech corpus to include all different possible occasions of stressed speech, for the purpose of training in speech recognition, is very difficult. This is true for any language and Farsi (Persian) is no exception. Due to the importance of formant frequencies, they have long been considered in the recognition task. In this paper, we report on our efforts to find out the potential effects of stress on the formant frequencies. The results of our statistical evaluations demonstrate changes in the formant frequencies in certain directions, due to stress, that may be found helpful in improving automatic recognition of stressed speech.
Keywords :
feature extraction; frequency estimation; speech recognition; statistical analysis; Farsi vowels; Persian language; acoustic features; automatic recognition; formant frequencies; large speech corpus; prosodic property; speech recognition; statistical evaluations; stressed speech; training; Acoustical engineering; Automatic speech recognition; Frequency; Hidden Markov models; Natural languages; Power engineering and energy; Speech analysis; Speech recognition; Stress; Water;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326072