Abstract
In almost every language across the globe nasalised speech is present. Our work is motivated by the fact that nasalised speech detection can improve the speech recognition system. So, to analyse the nasalised speech better, we have designed a device to separate nasal murmur from oral speech, when nasalised speech is spoken. Speech data of different speakers are collected and analysed. Nasalised vowels are analysed first and it has been found that an additional formant is consistently being introduced between 1000 and 1500 Hz. Using various signal processing techniques we analysed different nasalised vowels and found that nasal murmur produced, is invariant irrespective of the nasalised vowels and so is the nasal tract. Nasalisation is being produced in speech by coupling of nasal tract with oral tract. So, when effect of coupling is analysed experimentally, it came out to be addition.
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Jyotishi, D., Deb, S., Abhishek, A., Dandapat, S. (2019). Experimental Analysis on Effect of Nasal Tract on Nasalised Vowels. In: Tanveer, M., Pachori, R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore. https://doi.org/10.1007/978-981-13-0923-6_62
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DOI: https://doi.org/10.1007/978-981-13-0923-6_62
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