SPEECH/AUDIO PROCESSING
Speech is the most basic form of human communication, and it is also essential for understanding behavior and cognition. In Artificial Intelligence, speech recognition is a technique used on computer programs to help them understand spoken words.
Sound, like images and videos, is an analog signal that humans perceive through sensory organs.
This information must be stored as digital signals and analyzed by software before it can be consumed by machines.
By creating more personalized, enriching interactions, audio, speech, and language processing help bridge the gap between human and machine.
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Audio and Speech Processing
Audio analysis in machine learning can encompass a wide range of technologies, including automatic speech recognition, music information retrieval, auditory scene analysis for anomaly detection, and others. Models are frequently used to distinguish between sounds and speakers, segment audio clips into classes, or collect sound files with similar content. You can also convert speech to text with relative ease. Before being ready for analysis by an ML algorithm, audio data must go through a few preprocessing steps, including collection and digitization.
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