Downsampling reduces an audio signal's sample rate by decreasing the number of samples processed each second. It lowers storage requirements and computational overhead while preserving sufficient quality for speech processing.
Voice AI platforms downsample audio before speech recognition or transmission when lower sample rates are adequate. Proper downsampling reduces bandwidth and processing costs without significantly affecting transcription accuracy.