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Let’s start with **speech recognition**, which is the process of converting spoken words into text. This is what allows your phone to understand your commands. Speech recognition systems use complex algorithms to analyze the acoustic features of speech, such as the frequencies, amplitudes, and durations of sounds. This helps the system identify phonemes (the basic units of sound in a language), and then combine them into words and sentences. The accuracy of speech recognition depends on several factors, including the quality of the audio input, the presence of background noise, and the sophistication of the recognition algorithms. Nowadays, systems rely heavily on **acoustic modeling** and **language modeling**. Acoustic models are trained on massive datasets of speech to learn the sounds of a specific language, while language models predict the likelihood of a sequence of words, helping the system understand the context of what is being said.
