…Customers can usually only refer to captured recordings data set during a specified time period with numbers like: total number of recordings average file size of captured recording or total number of captured hours Customers usually don’t have any information about ratio between speech signal and technical/silence parts of recordings in the beginning. The speech / non-speech ratio is detected…
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…text-based, well commented and human readable. Read carefully these comments as there are some useful tips and tricks hidden inside. Let’s begin; pay attention to the comment about variables notation format mentioned in the configuration preamble: # This is the default properties file for Phonexia Speech Engine # # Variables: # ${application.dir} path to application directory # ${system.env.<NAME>} system environment…
…all speech technologies and products and may be required in order to use utilities and tools developed by Phonexia or partners. For technical purposes, the License agreement is represented by the license file, which describes the Phonexia technologies or products allowed to be used with that license file. License file The license file is a plain text file named license.dat…
…variants are provided), for both file- and stream transcription. The reason for not having it available in the word-level outputs (One-best, Confusion Network) is that it would create difficulties in stream transcription – as new words keep coming, they may potentially change the previous output: two… 2 two thousand… 2000 two thousand twenty… 2020 two thousand twenty one 2021 And…
In this article we explain details of the Speech Engine configuration file phxspe.properties, located in settings subdirectory in SPE installation location. Settings in this configuration file affect the Speech Engine behavior and performance. The configuration file is usually created after SPE installation – on first use of phxadmin, default configuration file phxspe.properties is created in the settings directory. The file…
Preferred phrases is a feature, available for 5th or newer generation of STT models and Speech Engine 3.32 or later. 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 similarly sounding words get confused,…
A: If server responds on pending request by status 200 – OK, the body of the response will have the result inside (server already has the result in cache memory and there is no need to process the file again). If server responds on pending request by status 202 – Accepted, server will create task and server will begin to…
This article explains details and usage of SQL database scripts stored in SPE installation directory in /data/database subdirectory. These scripts are intended for setup and maintenance of SPE database for supported database types, currently SQLite and MariaDB (from SPE 3.46) / MySQL (up to SPE 3.45). Script types For each database type, there are two directories with two types of…
…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, speech engine can correct result before it is printed out by taking into account also the subsequent…
Core objective: Basic understanding of Phonexia speech technologies and products; typical use cases, implementations and deployment topologies Duration: 35 minutes intended for idea makers and product designers assumes generic knowledge of Phonexia and speech technologies in general Content 00:00 Introduction What information can we get from speech? Overview of basic use cases Phonexia Speech Platform brief 4:21 Phonexia technologies overview…
…user can add to language model of speech-to-text technology (better accuracy of KWS technology). Input audio file (format details – see Speech Engine documentation); stream not supported, technology model name (i.e. language code) to be used for phoneme transcription. Output In the process of transcribing speech-to-phonemes, the Phoneme Recogniser usually identifies individual speech segments and convert it to pronunciation. Example…
…SQE_STREAM Speech Quality Estimation Stream STT Speech To Text STT_STREAM Speech To Text Stream TAE Time Analysis Extraction TAE_STREAM Time Analysis Extraction Stream VAD Voice Activity Detection VAD_STREAM Voice Activity Detection Stream SIDC Speaker Identification Voiceprint Comparator (legacy) SIDC_STREAM Speaker Identification Voiceprint Stream Comparator (legacy) SIDCALIBSET Speaker Identification VoicePrint Calibration (legacy) SIDCALIBSET_STREAM Speaker Identification VoicePrint Stream Calibration (legacy) SIDE Speaker…
…before the keyword (1), the Keyword model (2) and a Background model of any speech parallel with the keyword model (3). Models 2 and 3 produce two likelihoods – Lkw and Lbg (any speech = background). Raw score is calculated as log likelihood ratio (LLR): score = loge(Lkw/Lbg) Confidence is calculated from the raw score using a sigmoid function: where:…
…of software and/or API (for example REST Server 2.1 -> SPE 3.0). It includes change in components or technology models. Speech Engine update procedure The update procedure is purely manual and heavily relies on your own detailed knowledge of your Speech Engine installation and its internal functionality and structures. This knowledge is crucial for tuning the Speech Engine for maximum…