Speech corpus of assamese numerals extracted using an adaptive pre-emphasis filter for speech recognition

The quality and details captured in speech corpus directly affects the precision of performance in an Automatic Speech Recognition (ASR) system. The current work proposes a platform for speech corpus generation using an adaptive LMS filter and LPC Cepstrum, as a part of an Artificial Neural Network (ANN) based Speech Recognition System which is exclusively designed to recognize isolated numerals of Assamese language-a major language in the North Eastern part of India. The paper describes the use of an adaptive filter configured as a pre-emphasis block for generation of LPC-Cepstrum feature to apply in an ANN-based Speech Recognition System for Assamese language.