The number of raw samples in processed audio that were clipped (values outside of a clipping window defining a maximum and minimum threshold). Clipping indicates that the user might be too close to the microphone during audio capture or fidgeting with the microphone. Clipped samples can have negative impact on speech recognition performance.
Root mean square (RMS) values for each frame (25ms long with 10ms shift) in decibels in the processed audio. Values are computed as 20·log10( √( Σ(sample value)2 ) ). Where a frame has a zero signal level, the RMS dB value is reported as around -100dB.
A flag indicating that a high root mean square (RMS) value was detected during the initial part of the processed audio. This could indicate that:
The mean frame root mean square (RMS) decibel level for the non-speech segments (noise) in the processed audio.
The mean frame root mean square (RMS) decibel level for the speech segments in the processed audio.
NOTE: This value will be null if no speech segments were available in the response.
The estimated peak root mean square (RMS) decibel level of speech in the processed audio. This value is computed as the 98th percentile of all the RMS speech levels, to filter outliers. Low values would indicate faint speech or the user being too far from the microphone. This metric may not work well for responses with very short speech segments.
NOTE: This value will be null if no speech segments were available in the response.
The estimated signal to noise ratio (SNR) in decibels for the processed audio. SNR is computed as the difference between mean speech RMS value and mean noise RMS value. SNR accounts for some transient noise but primarily models it does stationary background noise. Low values of SNR have negative impact on speech recognition performance.
NOTE: SNR value will be null if there isn't sufficient data to compute it.
AudioQualityResult interface contains various metrics for audio quality estimation, returned as part of the Response, including Signal to Noise Ratio (SNR) and various signal level metrics.