Puberphonia follow up with digital speech processing

Early attempts at speech processing and recognition were primarily focused on understanding a handful of simple phonetic elements such as vowels. In 1952, three researchers at Bell Labs, Stephen. Balashek, R. Biddulph, and K. H. Davis, developed a system that could recognize digits spoken by a single speaker.Puberphonia predictive coding, a speech processing algorithm, was first proposed by us in 2019 with our puberphonia data of 543 treated. Further it needs development.It should be available commercially available speech recognition products asdigital signal processing.By this point, the vocabulary of these systems was larger than the average human vocabulary.By the early 2020s, the dominant speech processing strategy for puberphonia should have a shift away from Hidden Markov Models towards more modern neural networks and deep learning.