Acoustic Representation of Monophthongs with Special Reference to Bodo Language Uzzal Sharma Abstract Speech recognition is getting popularity day by day, as it plays a remarkable role in the field of human–computer communication (HCC). Due to the inclusion of speech recognition feature in the latest operating systems, its impor- tance has been increased many folds. Although a lot of work has been conducted in English, the other languages have not yet been completely explored as far as speech research is concerned. In the present paper, a major language of northeast India, the Bodo language, has been studied in terms of monophthong sounds present in it, using formant frequency based on LPC. The study reveals a number of facts which will be helpful in the speech and speaker recognition. Keywords HCC Á LPC Á Formant Á Monophthong Á Diphthongs Á Vowel Á Consonants 1 Introduction The pure vowels of any language are known as monophthong. The articulation of monophthong does not glide up or down toward a new articulation position during the articulation. Their articulation is almost fixed at the beginning and end of articulation. In contrast, spoken language also has another type of sound pattern known as diphthong. The diphthongs are characterized by the presence of two vowel sounds in it. Practically, all the diphthongs contain two monophthongs. For example in English, the word “bit” has a monophthong having only one vowel sound; on the other hand, the word “tear” has a diphthong having two vowel sounds, where it glides from one vowel sound to another. Similarly, in case of Bodo language, the words Goi, aai, jiu, eo, khao are diphthong type words [1]. Some of the Bodo monophthong words are si, er, su, ga, ran. Although Bodo is a tonal language, in the current study, the tonal aspect is not considered [1]. In the current U. Sharma (&) School of Technology, Assam Don Bosco University, Guwahati, India e-mail: druzzalsharma@gmail.com © Springer Nature Singapore Pte Ltd. 2018 S. S. Agrawal et al. (eds.), Speech and Language Processing for Human-Machine Communications, Advances in Intelligent Systems and Computing 664, https://doi.org/10.1007/978-981-10-6626-9_19 173