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Speech Engine and technologies, instances, workers… explained

     Posted on: 2020-11-19

Configuring Speech Engine to utilize effectively the full power of underlying hardware can get challenging – one can easily get lost in all the strange terms like technologies, instances, slots, or workers... This article should shed some light in it. Speech Engine is like post office Thinking about Speech Engine, there is actually a very nice analogy with post office (or bank branch): Post office is a place providing different kinds of services – one can go there to send letters, send or pick up packages, get a POBox, get some financial services, insurance, etc.).   Speech Engine has various…

Phonexia Speech Engine

     Posted on: 2020-11-19

About Phonexia Speech Engine v3 (SPE3) is a main executive part of the Phonexia Speech Platform. It is a server application with REST API interface through which you can access all available speech technologies. Both, Linux 64bit and Windows 64bit operating systems are supported. Phonexia Speech Engine (SPE3) is adjustable server component which houses all speech technologies. SPE3 provides RESTfull application programming interface to access various technologies. Aside from technologies themselves the SPE has implemented other various functionality supporting work with speech technologies, recordings and streams, and others. Features Main purpose of SPE is to work as processing unit for…

Speech Engine 3.35.0

     Posted on: 2020-10-01

Speech Engine 3.35.0, DB v1600, BSAPI 3.35.0 (2020-10-01) New LID model L4 was promoted to production (LID BETA_L4 renamed to LID L4) Added new language tag documentation (doc/Technology_LID_L4_Language_tags.pdf) Updated STT model CS_CZ_5 to version 5.2.1 (fixes faulty transcription of numbers into Roman format) Added configurable STT Confusion Network threshold (in technology configuration file) Fixed STT didn't work with 4th and older generation models after introduction of the Preferred phrases feature in SPE 3.32 Update from SPE 3.30 causes errors in STT result cache memory leak in logging system Typo in name of es-XA language in LID model L4 default language…

Phonexia Partner Program for Government Partners

     Posted on: 2020-08-25

Phonexia Partner Program for Government Partners This partnership program rewards partners in the government sector for selling and integrating the Phonexia’s speech recognition and voice biometrics product portfolio. Program Enrollment If you aspire to becoming a Phonexia partner, you can enroll into the Phonexia Partner Program and complete a three-month onboarding period. During this period, you will enjoy the same partnership benefits as our Silver partners. Your assigned Phonexia Account Manager will take you through all necessary legal documents, highlight every business aspect of our cooperation, and organize two calls with a pre-sales person to ensure that you understand the…

How to convert STT confusion network results to one-best

     Posted on: 2020-04-06

Confusion Network output is the most detailed Speech Engine STT output as it provides multiple word alternatives for individual timeslots of processed speech signal. Therefore many applications want use it as the main source of speech transcription and perform eventual conversion to less verbose output formats internally. This article provides the recommended way to do the conversion. Time slots and word alternatives: The recommended algorithm for converting Confusion Network (CN) to One-best is as follows: loop through all CN timeslots from start to end in each timeslot, get the input alternative with highest score and if it's not <null/> or…

What is a user configuration file and how to use it

     Posted on: 2020-03-28

Advanced users with appropriate knowledge (gained e.g. by taking the Phonexia Academy Advanced Training) may want to finetune behavior of the technologies to adapt to the nature of their audio data. Modifying original BSAPI configuration files directly can be dangerous – inappropriate changes may cause unpredicatble behavior and without having a backup of the unmodified file it's difficult to restore working state. User configuration files provide a way to override processing parameters without modifying original BSAPI configuration files. WARNING: Inappropriate configuration changes may cause serious issues! Make sure you really know what you are doing. User configuration file is a…

How to configure STT realtime stream word detection parameters

     Posted on: 2020-03-28

One of the improvements implemented since Speech Engine 3.24 is neural-network based VAD, used for word- and segment detection. This article describes the segmenter configuration parameters and how they are affecting the realtime stream STT results. The default segmenter parametrs are as shown below: [vad.online_segmenter:SOnlineVoiceActivitySegmenterI] backward_extensions_length_ms=150 forward_extensions_length_ms=750 speech_threshold=0.5 Backward- and forward extension are intervals in miliseconds, which extend the part of the signal going to the decoder. Decoder is a component, which determines what a particular part of the signal contains (speech, silence, etc.). Based on that, decoder also decides whether segment has finished or not. Unlike in file processing…

Performance of the Speaker Identification 4th generation (SID4): Intel® Xeon® Platinum 8124M

     Posted on: 2019-10-30

Benchmark goals Find realistic performance using total recording length Find FTRT based exactly on net_speech (engineering sizing data) Find system performance using all physical cores Find system performance using all logical cores Infrastructure setup Intel® Xeon® Platinum 8124M is used in virtual machine with 8 physical cores reserved exclusively for this VM, Hyper Threading is enabled [16 logical cores available], 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 length ∑: 9600 [sec] Net speech length ∑: 4224.77 [sec] In the data set…

Measuring of a software processing speed – what is the FtRT (Faster than Real Time)

     Posted on: 2019-10-30

Faster Than Real Time (FTRT) is metrics developed for defining software performance reference point. Using this metric you can collect "benchmark" data of real processing speed for reviewed software, which should be found - and reproduced - on exactly defined HW. Then, comparing various benchmarks result, you can compare performance of the specified software and its parts on different HW configurations. And vice versa - using the same metric you can compare software from different vendors on the same HW configuration and for the same processing task. We are recognizing two measurable metrics: Recording based FTRT is calculated from real…