Editing Deep Learning Revolution (section)

== Introduction ==
Machine learning is a science of finding patterns in data, while deep learning, a subset of machine learning inspired by human brain structures, uses layered and structured neural networks to process raw data and learn features automatically. Deep learning has revolutionized the field of speech recognition. The field was previously limited, but the introduction of machine learning has invited recent key innovations such as RNN, LSTM and Transformers which have shifted and dramatically improved the landscape of speech technology which was previously dominated by Hidden Markov Models ([[Hidden Markov Models|HMMs]]). The impact of these technologies have enabled several applications, such as: voice assistant, transcription services, and voice-controlled technology. Future research in deep learning as it pertains to speech recognition will most likely focus on enhancing the robustness of the foundations it has built, adaptability in areas such as different accents and environments, and exploration of multimodal fusion such as combining audio and visual data for higher accuracy.