Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach for estimating pronunciation similarity beten two speakers using the cepstral distance. General speech recognition systems have been used to find the matched words of a speaker, using the acoustical score of a speech signal and the grammatical score of a word sequence. In the case of learning a language, for a speaker with impaired hearing, it is not easy to estimate the pronunciation similarity using automatic speech recognition systems, as this requires more information of pronouncing characteristics, than information on word matching. This is a new challenge for computer aided pronunciation learning. The dynamic time warping algorithm is used for cepstral distance computation beten two speech data with codebook distance subtracted to consider the characteristics of each speaker. The experiments evaluated on the Korean fundamental vol set show that the similarity of two speaker's pronunciation can be efficiently computed using computers.
['Donghyun Kim', 'Dongsuk Yook']
I am writing a research paper on a idea Pronunciation similarity estimation for spoken language learning
[{"from": "human", "value": "I am writing a research paper on a idea Pronunciation similarity estimation for spoken language learning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach for estimating pronunciation similarity beten two speakers using the cepstral distance. General speech recognition systems have been used to find the matched words of a speaker, using the acoustical score of a speech signal and the grammatical score of a word sequence. In the case of learning a language, for a speaker with impaired hearing, it is not easy to estimate the pronunciation similarity using automatic speech recognition systems, as this requires more information of pronouncing characteristics, than information on word matching. This is a new challenge for computer aided pronunciation learning. The dynamic time warping algorithm is used for cepstral distance computation beten two speech data with codebook distance subtracted to consider the characteristics of each speaker. The experiments evaluated on the Korean fundamental vol set show that the similarity of two speaker's pronunciation can be efficiently computed using computers."}]