Patent Document ID: 9396738
Application ID: 13907793

Base Claim:
1. A method of measuring the quality of speech communicated using packets, the method comprising: operating a plurality of N independent neural networks, each neural network processing one of N separate sets of speech signal feature measurements corresponding to a speech signal recovered from packets communicated via a communications network to generate from the processed set of speech signal feature measurements a signal feature quality score, each of the N different neural networks corresponding to a different one of the N sets of speech signal feature measurements, said N neural networks generating N signal feature quality scores, each one of the N signal feature quality scores corresponding to a different one of N speech signal features; operating a joint quality score determination neural network to generate a joint signal feature quality score from said N signal feature quality scores; adjusting said joint quality score based on packet loss information and codec type to generate a final overall quality score for said recovered speech signal wherein different types of codecs correspond to different packet loss robustness factors; and wherein said N sets of separate speech signal feature measurements include at least two sets of speech signal measurements from a group of sets of speech signal feature measurements including: a set of signal to noise ratio measurements, a set of spectral clarity measurements, a set of linear prediction skew measurements, a set of linear prediction kurtosis measurements and a set of pitch average measurements.

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Claim 5:
5. The method of claim 1 , wherein said adjusted joint quality score is an approximation of a MOS score (mean opinion score) adjusted to take into consideration packet loss corresponding to signal portions which are non-silent signal portions.