Neural networks recognise speech, that is, they turn speech audio signals into text. This is far from my expertise, I will assume though that the input is the amplitude of the signal over time. How is the input delivered in the system in the course of time? Is it in chucks, and if yes how long are they, or does it take one data point per time?
Christos Sidiras Speech recognition systems typically process audio data in small chunks, typically around 20-40 milliseconds in duration. These chunks of data are referred to as "frames". The speech recognition system processes one frame at a time, and makes decisions about what words are being spoken based on the patterns of amplitudes in the audio data.
Christos Sidiras The reason for processing the data in small chunks is that the patterns of amplitudes in the audio data can change rapidly over time. By processing the data in small chunks, the speech recognition system can adapt more quickly to these changes and make more accurate predictions.
Christos Sidiras In a neural network-based speech recognition system, the audio data is usually passed through a series of layers of artificial neurons, which extract features from the data and make predictions about what words are being spoken. The predictions are then used to generate a transcription of the speech audio.
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