…a speaker does not pronounce a word correctly and the one-best results do not correspond to what the speaker actually said. Start– and end time is in HTK units. 1 HTK unit equals to 100 nanoseconds ==> dividing the values by 10000 gives the time in milliseconds. Score is a rate of match with the acoustic and language model from…
Search: Language Model
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A: Yes, you can use Language Model Customization (LMC). For more details please read STT Language Model Customization tutorial….
…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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…signal captured in a recording are also more or less unique, thus the technology can be language-, accent-, text-, and channel-independent. Automatic speaker recognition systems are based on the extraction of the unique features from voices and their comparison. The systems thus usually comprise two distinct steps: Voiceprint Extraction (Speaker enrollment) and Voiceprint comparison. The processing speed depends on the…
…numbers conversion is based on set of grammar rules, describing how the conversion should work. Conversion rules are stored in numeric.pegjs file, located in grm subdirectory inside the STT model directory. For example: in Czech 6th generation STT it’s located in {SPE_directory}/bsapi/stt/data/models_cs_cz_6/grm in Spanish 6th generation STT it’s located in {SPE_directory}/bsapi/stt/data/models_es_6/grm Can it be extended or tuned? You can edit…
…language. We have never seen this data during SID training so it is a sensible thing to calibrate the system. Since there is only a single source of data (telephony) and only a single language (Wakandan), one can assume that it is enough to create a single profile and use it for both sides of the comparison. We are monitoring…
Gender Identification is a language-, domain- and channel-independent technology that uses the acoustic characteristics of the recording to determine the gender of the speaker in question. This technology is able to distinguish between two genders: Male (M) and Female (F). Minimum of speech signal for identification: 7+ sec recommended with XL5, XL4 and L4 model (9+ sec for previous generation…
…coding), A-law or Mu-law, PCM, 8kHz+ sampling Voiceprints: AGE L4 model supports SID4 L4 voiceprints; legacy AGE models support voiceprints created by AGE itself Output Log file with processed information (age estimate) Processing speed Approx. 20x faster than real-time processing on 1 CPU core i.e. standard 8 CPU core server processes 3,840 hours of audio in 1 day of computing…
…main binary file itself SPE requires database, which might be SQLite (delivered inside Phonexia package) or MySQL. No other components are needed. Structure of Technologies and technology models From the technical point of view, every technology can work with different technology modules. These are various languages for STT (CS_CZ4, EN_US4), or various sizes for SID (L3, XL3). Technology can work…
Some packages are distributed with only a limited set of speech technologies and languages or without speech technologies. First installation Our software is distributed as a ZIP file. Installation procedure is as simple as: unzip the archive paste additional KWS, STT… models paste the license.dat file to the root directory where you have BROWSER folder and run_browser(.exe) script run the…
…Data The data directory holds additional data files for entities created by that user – e.g. SID Speaker Models, or LID language packs. If no such entities exist for that user, this directory is empty. Unlike the storage, content of this directory is intended to be manipulated by SPE only and should not be manipulated directly on the filesystem level….