Fact · Speech recognition
6data points
The speech recognition accuracy on long dictation: one 4-minute recording against the same speech in short pieces dataset holds 6 data points, each a published figure traced to its source.
Calculated from 6 data points on October 25, 2026
- How it is calculated
- Count of the published facts that are rows of the dataset: 6.
A statistic of the dataset Dictation Accuracy on Long Recordings, Tested, calculated by code from its published rows.
Calculated from
- In our October 2026 test on a Mac with an M2 Pro, Apple SpeechTranscriber had a word error rate of 2.33 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over cut at pauses into pieces of 10 to 20 seconds.
- In our October 2026 test on a Mac with an M2 Pro, Apple SpeechTranscriber had a word error rate of 2.34 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over as one recording of 3 to 4 minutes.
- In our October 2026 test on a Mac with an M2 Pro, Parakeet TDT 0.6B v3 had a word error rate of 2.45 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over cut at pauses into pieces of 10 to 20 seconds.
- In our October 2026 test on a Mac with an M2 Pro, Parakeet TDT 0.6B v3 had a word error rate of 2.70 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over as one recording of 3 to 4 minutes.
- In our October 2026 test on a Mac with an M2 Pro, Whisper large-v3-turbo had a word error rate of 2.35 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over cut at pauses into pieces of 10 to 20 seconds.
- In our October 2026 test on a Mac with an M2 Pro, Whisper large-v3-turbo had a word error rate of 2.91 percent on 84 English readings of 3 to 4 minutes by 40 speakers, handed over as one recording of 3 to 4 minutes.