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Search: escore \*100 formula
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…32GB RAM, 30GB SSD based storage, 1000 I/O.s-1 reserved per core Benchmark data setup Data set statistic: Number of files: 32 [300 seconds each] RAW recordings total length: 9600 seconds Net speech total length: 4224.77 secons Data set contains 44% of speech signal, 56% of silence or technical signal Statistic counted by Phonexia VAD 3.22.1, “vad_2.bs” settings (AKA strict VAD,…
…the word correctly and when technology evaluates the best result as not matching to what was really said. Confusion network result type provides similar output as n-best, only with the exception that segments are returned word by word. Usage of confusion network is the same as of n-best. Training of new models To create new model of STT about 100…
…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.…
…Windows version available) ~100 MB of RAM, 10 MB of storage LAN interface must be present FLS can be installed on-site and can be isolated from public Internet (i.e. offline, although no data are sent outside the site anyway). FLS must be accessible for connection within LAN where computing machines reside – it is the local admin’s responsibility to ensure…
…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)….
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…process data faster than realtime, which allows them to utilize 100% of a physical CPU core. This means that for file processing technologies the number of workers should be set to a number of physical CPU cores in the server and there is no point configuring more workers. Stream processing can process data at real time speed at maximum –…
This article explains details about SPE asynchronous requests processing queue, the processing task lifecycle and its handling states. When SPE receives an asynchronous API request, a task is created and put in a queue. Size of the queue is defined by server.n_task_limit setting in SPE configuration file, default value is 1000 tasks. Tasks in queue are then handled according to…