If you think you have something happening at time 0.000625 sec. Although physical sound is continuous, digitized sound chops that continuity up into evenly-spaced values. The sampling rate defines a limit on time resolution. If samples are 2 bytes (16 bit samples, more common), then samples are still. 000125 seconds apart, and the distance in time between the pulses is. If each byte is a sample and the sampling rate is 8000 Hz, then successive bytes (samples) are. The question is, what is the duration in time between those bytes? The answer is, who knows? You have to first specify how many bytes there are in a sample, and what the sampling rate is. More specifically, though, a bit of background on digital technology will clarify how the question is somewhat misconceived.Īssume that you have a sampled speech file containing 1024 bytes, where (counting from zero) bytes 5 and 987 are 255. The bottom-line positive answer is "there's nothing to worry about". I'm also posting this question to Research Gate, so both will be linked. wav files offer a method (but not the only method) to cross-check millisecond precision/accuracy as required for psychological software testing? Or, another way to frame this question: Can. 001 milliseconds)? Can I feasibly narrow down my speech data analysis to this temporal resolution, without rounding to milliseconds, while still maintaining validity and reliability? wav speech data files down to this 6th decimal, or microsecond (.000001 seconds. My question is: How certain are we that Praat is reliably representing/reporting/analyzing. However, standards in linguistic studies on voice onset time and aspiration, for which precise time measurement is necessary, appear to only report data to the 3rd decimal, or down to the millisecond (ms=.001). For example: 154.900000 seconds (borrowed from a Google image screenshot). wav files in Praat, total time duration and target speech segments are represented down to 6 decimals.
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