Search Results for: STT vs. STT_STREAM

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SPE3 – Releases and Changelogs

Relevance: 100%      Posted on: 2020-12-01

Speech Engine (SPE) is developed as RESTfull API on top of Phonexia BSAPI. SPE was formerly known as BSAPI-rest (up to v2.x) or as Phonexia Server (up to v3.2.x). This page lists changes in SPE releases. Releases Changelogs Speech Engine 3.36.0, DB v1601, BSAPI 3.35.3 (2020-12-01) Non-public Feature Preview release New: Added some useful information to log messages: Stream ID in task-related log messages Audio length in debug log messages Workers and streams info in debug log messages New: Possibility to obtain information about input RTP connection (see GET /input_stream/rtp/info) New: Endpoint to get languageprint information (see POST /technologies/languageid/lpinfo) Improved:…

STT Language Model Customization tutorial

Relevance: 44%      Posted on: 2019-04-24

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 signals into the proper text equivalents. Due to general diversity of spoken speech, the default generic language model may not acknowledge the importance of certain words over other words in certain situations. Language model customization is a way to inform the…

What are STT preferred phrases and how to use them

Relevance: 27%      Posted on: 2020-11-26

Speech Engine version 3.32 and later includes new STT feature called Preferred phrases. This article explains what is the feature good for, how does it work internally and gives some tips for practical implementation. What are preferred phrases In the speech transcription tasks, there may be situations where similar sounding words get confused, e.g. "WiFi" vs. "HiFi", "route" vs. "root", "cell" vs. "sell", etc. Normally, the language model part of the Speech To Text does its job here and in the context of longer phrase or entire sentence prefers the correct word:  ×    I'm going to cell my car. Hmmm, such…

How to convert STT confusion network results to one-best

Relevance: 21%      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…

How to configure STT realtime stream word detection parameters

Relevance: 19%      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…

Difference between on-the-fly and off-line type of transcription (STT)

Relevance: 18%      Posted on: 2017-12-11

Similarly as human, the ASR (STT) engine is doing the adaptation to an acoustic channel, environment and speaker. Also the ASR (STT) engine is learning more information about the content during time, that is used to improve recognition. The dictate engine, also known as on-the-fly transciption, does not look to the future and has information about just a few seconds of speech at the beginning of recordings. As the output is requested immediately during processing of the audio, recording engine can't predict what will come in next seconds of the speech. When access to the whole recording is granted during off-line transcription…

STT

Relevance: 16%      Posted on: 2018-02-01

Phonexia Speech To Text, sometime also as Speech Transcription Technology (LVCSR based ASR technology)

Browser3 – Releases and Changelogs

Relevance: 7%      Posted on: 2020-10-23

Phonexia Browser v3 (Browser3) is developed as client on top of Phonexia Speech Engine v3. Phonexia Browser is a successor of Phonexia Speech Intelligence Resolver v1 (SIR1). This page lists changes in Browser releases. Releases Changelogs Phonexia Browser v3.35.2, BSAPI 3.35.2 - Oct 21 2020 Public release Fixed: Speaker identification dialog in WaveEditor which did not work for SID4 Fixed detection of certain USB license tokens Phonexia Browser v3.35.0, BSAPI 3.35.0 - Oct 02 2020 Public release New: Compatibility with SPE 3.35 Phonexia Browser v3.30.12, BSAPI 3.30.11 - Aug 20 2020 Public release Fixed: Transcription results intermittently displays words in wrong…