The book presents current research and developments in multilingual speech recognition. The
author presents a Multilingual Phone Recognition System (Multi-PRS) developed using a common
multilingual phone-set derived from the International Phonetic Alphabets (IPA) based
transcription of six Indian languages - Kannada Telugu Bengali Odia Urdu and Assamese. The
author shows how the performance of Multi-PRS can be improved using tandem features. The book
compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus
tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral
features using Deep Neural Networks (DNN). Multitask learning is explored to improve the
prediction accuracy of AFs. Then the AFs are explored to improve the performance of Multi-PRS
using lattice rescoring method of combination and tandem method of combination. The author goes
on to develop and evaluate the Language Identification followed by Monolingual phone
recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition
systems.
