Optimizing Integrated Features for Hindi Automatic Speech Recognition System
Optimizing Integrated Features for Hindi Automatic Speech Recognition System is a scholarly work, published in 2018 in ''Journal of Intelligent Systems''. The main subjects of the publication include particle swarm optimization, cepstrum, artificial intelligence, feature extraction, Speech enhancement, feature, speech recognition, audio signal processing, pattern recognition, Mel-frequency cepstrum, computer science, and crossover (genetic algorithm). Initially, the paper proposes a sequential combination of all three feature extraction methods, taking two at a time.