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…and their usages Filtering and supporting technologies 04:32 Speech Quality Estimation (SQE) 05:27 Voice Activity Detection (VAD) 06:37 Diarization (DIAR) 07:41 Age Estimation (AGE) 08:14 Waveform Denoiser Voice Biometrics technologies 08:56 Speaker Identification (SID) 10:18 Language Identification (LID) 11:10 Gender Identification (GID) Speech Analytics technologies 11:43 Speech Transcription (STT) 12:30 Keyword Spotting (KWS) 13:32 Phoneme Recognition (PHNREC) 13:54 Time Analysis…
…that access rights are configured appropriately – e.g. the external process putting the files to the SPE storage might be running under different user context than the SPE process, making the files inaccessible for the SPE process… which might lead to obscure errors. Data The data directory holds additional data files for entities created by that user – e.g. SID…
…Phonexia, usually one of the following: Pay-as-you-go solution (for the commercial market) Capacity & license is ensured by the RLS component, which is only to calculate the amount processed during a monthly period. The amount is reported by the RLS component (deployed on a customer’s side) to the RLS installed on the Phonexia side. The RLS requires capacity & license…
…or SID technologies. Q: How does the Denoiser perform if part of the recording is noisy and part of the speech is good quality? The technology is being developed to automatically detect low quality audio segments and try to reconstruct them. On the contrary, well-recorded segments should be automatically recognized and retained their original speech quality. Q: Is there a…
…not visible by SPE and by the account. Similar trickery can be done with the data directory, allowing to share LID language models and language packs, or SID speaker models, etc. between accounts. User accounts management SPE user accounts can be managed using REST API (see Administration section of the API documentation), or using command line administration utilities phxadmin or…
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About STT Phonexia Speech to Text (STT) converts speech in audio signals into plain text. Technology works with both acoustics as well as dictionary of words, acoustic model and pronunciation. This makes it dependent on language and dictionary – only some set of words can be transcribed. As an input, audio file or stream is needed, together with selection of…
Phonexia Keyword Spotting (KWS) identifies occurrences of keywords and/or keyphrases in audio recordings. It can help you to get valuable information from huge quantities of speech recordings. You only need to specify the keywords or phrases you wish to find. This technology identifies all recordings with keyword occurrences and allows you to automatically route important recordings or calls to your…
This section collects links or locations of manuals for specific Phonexia Speech Platform components. API Phonexia Speech Engine REST API – SPE – latest version manual online (api_reference.html for your version is located in doc subdirectory in SPE folder or distribution ZIP) Brno Speech Application Interface v3 – BSAPI3 – latest version manual online Applications and Tools Phonexia Browser –…
Any errors should be tested on the latest version of the product. Please ask your Phonexia contact for a link to download the latest version. Before submitting issue/ticket… Any errors should be tested on the latest version of the product. Please ask your Phonexia contact for a link to download the latest version. For each issue, please collect the following…
Phonexia Language Identification (LID) will help you distinguish the spoken language or dialect. It will enable your system to automatically route valuable calls to your experts in the given language or to send them to other software for analysis. Application areas Preselecting multilingual sources and routing audio files to language-dependent technologies (transcribing, indexing, etc.) Analyzing network traffic media (language statistics)…
A: These abbreviations mean the following: LR – likelihood ratio, result from statistical test for two models comparison. It returns a number which expresses how many times more likely the data 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…
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