The phrase "speaking rate" is correct and usable in written English.
You can use it when referring to the speed at which someone speaks. For example, "She has an incredibly fast speaking rate."
Existing speech therapy technologies can assist this practice by monitoring speaking rate and providing feedback to the patient, but cannot provide an accurate, quantitative measurement of speaking rate.
Between the speaking rate and the pitch-normalization, we have first normalized the speaking rate since the speaking rate transformation may result in slight modification of the pitch of the signals.
DAF reduced speaking rate significantly more while reading than conversing (Task × Feedback interaction).
The application can thus provide reliable, user-friendly, real-time feedback for speaking rate control practice.
The models trained with speech data having slow speaking rate would have greater self-loop transition probabilities than the models trained with speech data having fast speaking rate.
This improvement is consistent with the results reported in literature obtained with speaking rate normalization for ASR of signals of mismatched speaking rate [28, 36].
Moreover, they showed that faster speaking rate leads to the merging of accent commands.
Strictly speaking, rate control technology is not a normative part of video coding standards.
Prosody primarily manifests itself as pitch accent, pause, variations in speaking rate, and intonation.
We test this method on three different databases: a speaking rate database, a native database, and a non-native database.
