Phonetically Balanced Code-Mixed Speech Corpus for Hindi-English Automatic Speech Recognition
Ayushi Pandey, Brij Mohan Lal Srivastava, Rohit Kumar, Bhanu Teja Nellore, Kasi Sai Teja, Suryakanth V. Gangashetty · 2018
The paper presents the development of a phonetically balanced read speech corpus of code-mixed Hindi-English.Phonetic balance in the corpus has been created by selecting sentences that contained triphones lower in frequency than a predefined threshold.The assumption with a compulsory inclusion of such rare units was that the high frequency triphones will inevitably be included.Using this metric, the Pearson's correlation coefficient of the phonetically balanced corpus with a large code-mixed reference corpus was recorded to be 0.996.The data for corpus creation has been extracted from selected sections of Hindi newspapers.These sections contain frequent English insertions in a matrix of Hindi sentence.Statistics on the phone and triphone distribution have been presented, to graphically display the phonetic likeness between the reference corpus and the corpus sampled through our method.