A new developed speech recognition education software in teaching LPC and LPC-derived cepstrum

Speech processing systems are highly complex and teaching students in this subject matter with the underlying technologies can be a challenging task. Thus education software is needed to provide the students with more convenient way to study, perform experiments and develop his/her first speech recognition application without an instructor. The Speech Recognition Virtual Classroom (SRVC) was developed as education software in teaching speech recognition. There are various modules, like signal analysis, dynamic time warping, vector quantization and hidden Markov models (HMM). These modules are integrated into a single environment that allows easy learning through experiments with real speech data.