Sentence examples for speech detection rate from inspiring English sources
One measure is the speech detection rate (SDR) and the FAR [37].
The proposed methods are all evaluated by receiver operating characteristic (ROC) curves which show discriminative properties of VAD between noise-only and noisy speech frames in terms of the speech detection rate (SDR) and false-alarm rate (FAR) such that (18) (19).
For the open-speaker case, stress/neutral speech detection error rates of 69.7/16.2% using traditional features are used to 13.1/4.0% (a relative 81.3/75.4% reduction) with the proposed automatic frequency sub-band weighting scheme.
As the number of low-energy frequency components in music audio signals is smaller than that in speech audio-signals, the detection rate is expected to be lower.
The ROC curve plots the average detection rate during speech intervals P d vs. the average false-alarm rate during noise-only intervals P fa for varying values of the threshold η.
The total misclassification error (Error), accuracy rate (Correct), speech detection error (SE), and non-speech detection error (NE) are displayed on the upper or lower right of each subfigure.
Simulation results indicate that the proposed algorithm achieves high-speech and nonspeech detection rates while maintaining a low error rate for different noisy conditions.
The temporal resolution of speech detection is limited and much lower than the sampling rate of the audio signal.
For this measure, the detection rate is determined for frames relative to reference speech on- and offsets.
To determine the detection rate, detection results for frames close to reference speech onsets and offsets are averaged over multiple utterances.
