speech recognition

This article explores the use of Mel Frequency Cepstral Coefficients (MFCC) and Hidden Markov Models (HMM) for Speech Recognition. It delves into how these techniques can be employed to accurately transcribe spoken words, improve language processing systems, and enhance human-computer interaction. The article provides insights on the algorithms’ principles, their applications, and potential areas of advancement.