…function of LR. LLR meets numbers in interval (-inf;+inf). Percentage (normalised) score – commonly used mathematical transformation of the LLR to percentage. This number is better for human readability but may bring some doubts if LLR numbers are too high (typically for some non-adapted installations). Interval <0;100> (or sometimes <0;1>), in %. The higher the score, the better the match….
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…– abbreviation for log-likelihood ratio statistic, logarithmic function of LR. LLR meets numbers in interval (-inf;+inf). Percentage (normalised) score – commonly used mathematical transformation of the LLR to percentage. This number is better for human readability but may bring some doubts if LLR numbers are too high (typically for some non-adapted installations). Interval <0;100> (or sometimes <0;1>), in %. The…
…are under one model than the other. LR meets numbers in interval <0;+inf). LLR – abbreviation for log-likelihood ratio statistic, logarithmic function of LR. LLR meets numbers in interval (-inf;+inf). Percentage (normalised) score – commonly used mathematical transformation of the LLR to percentage. This number is better for human readability but may bring some doubts if LLR numbers are too…
…are the same or if they are two different people. The ratio between these two probabilities is called the Likelihood Ratio (LR), which is often expressed in the form of a logarithm as Log Likelihood Ratio (LLR). Transformation to confidence (or percentage) is usually done using a sigmoid function: where: shift shifts the score to be at ideal decision point…
…redirected) New: SID/SID4 stream now allows gradually getting voiceprint from the stream (see /technologies/speakerid4/stream/voiceprint) New: Unicode characters in file names are now supported on Windows platform New: Added LLR score to GID result (as score_llr value, see /technologies/genderid) New: Added ‘per_channel‘ parameter to Diarization for processing multi-channel recordings New: Added configuration option to not start SPE if some technology doesn’t…
…before the keyword (1), the Keyword model (2) and a Background model of any speech parallel with the keyword model (3). Models 2 and 3 produce two likelihoods – Lkw and Lbg (any speech = background). Raw score is calculated as log likelihood ratio (LLR): score = loge(Lkw/Lbg) Confidence is calculated from the raw score using a sigmoid function: where:…
…generation of XL3 and L3 models) Output scoring: log-likelihood ratio (LLR) and score (0-1). Score can be interpreted as percentage by multiplying the score by 100. Typical use cases: filtering calls by gender, playing advertisement focused on specific gender, getting quick demographic analysis of the recordings. The speed of Gender Identification is up to 150 FtRT (depending on the model)….
…the Phonexia sales representative. Phonexia Voice Inspector 5.0 brings a Speaker Identification model XL5, that provides more accurate results for telephony data in comparison with previous generations of Speaker Identification models such as SID4 XL4. Users can observe that the SID4 XL5 model returns different values of LLR scores which are used for evidence calculation. Therefore Speaker Identification score distribution…