Language Model Customization tool (LMC) provides a way to improve the Speech To Text performance by creating customized language model. Language model is an important part of Phonexia Speech To Text. In a simplified way it can be imagined as a large dictionary with multiple statistics. The Speech To Text technology uses this dictionary and statistical model to convert audio…
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…need for command line tools… finally!) New: LID Language Packs allow to store meta-files New: New entity “LID Language Model” (equivalent of *.lpa LanguagePrint Archive) Improved: Updated STT model RU_RU_A to version 4.6.0 of (updated language model) Removed: Support for RLS-enforced licences in command line applications Removed: FeaturePasterRepeat warning on null/empty repeat vector Speech Engine 3.37 Speech Engine 3.37.1, DB…
…XL4 model (compatibility must be explicitly enabled) Speech Engine: Speech to Text (STT) We have several exciting new features relevant to STT and KWS technologies: Czech (Czech Republic) language model updated (tech. model name: CS_CZ_6): We added new words to the language model, so recent frequent words like “COVID” are correctly transcribed. Slovak (Slovakia) language model updated (tech. model name:…
…a decoder. The decoder uses the information from acoustic model, combines it with information from language model recognition network (which describes the statistics about word grouping and sentences of a given language) and provides the transcription output. (See the Speech To Text article for more details about speech transcription principles) When using preferred phrases, we build additional language model…
…may use them for both training a new language pack and testing/comparing against an existing language pack. The language-prints need to be compatible only with the model of LID used for language-print extraction. in FAQ Speech Platform Permalink Q: What are the recommendations for LID adaptation set? A: The following is recommended: For adding new language to language pack 20+…
…for individual models settings BSAPI configuration files (*.bs) and optionally manually created user configs (*.bs.usr) There is one exception – LID – which has additional two directories containing pre-built languageprint archives (*.lpa) and language packs: lprints and models. Schemes below show examples of directories for GID (Gender Identification), STT (Speech To Text) and LID (Language Identification): – GID and LID…
A: Yes, you can use Language Model Customization (LMC). For more details please read STT Language Model Customization tutorial….
…of XL4 model <?xml version=”1.0″?> <technology_subsystem_settings> <technologies> <item> <name>STT</name> <models> <item> <name>SK_SK_5</name> <n_instances>8</n_instances> <config_file /> </item> </models> </item> <item> <name>STT_STREAM</name> <models> <item> <name>CS_CZ_6</name> <n_instances>2</n_instances> <config_file /> </item> </models> </item> <item> <name>SID4E</name> <models> <item> <name>L4</name> <n_instances>2</n_instances> <config_file /> </item> <item> <name>XL4</name> <n_instances>3</n_instances> <config_file /> </item> </models> </item> <item> <name>SID4C</name> <models> <item> <name>L4</name> <n_instances>2</n_instances> <config_file /> </item> <item> <name>XL4</name> <n_instances>3</n_instances> <config_file />…