About STT Phonexia Speech to Text (STT) converts speech in audio signals into plain text. Technology works with both acoustics as well as dictionary of words, acoustic model and pronunciation. This makes it dependent on language and dictionary – only some set of words can be transcribed. As an input, audio file or stream is needed, together with selection of…
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…recordings Fixed: Unable to initialize technologies when SPE is launched using UNC path on Windows Speech Engine 3.57 (Public release) Speech Engine 3.57.0, DB v1901, BSAPI 3.57.0 (2023-02-01) New: AGE XL4 and XL5 models (for compatibility with SID4 XL4 and XL5 voiceprints) Speech Engine 3.56 (Public release) Speech Engine 3.56.0, DB v1901, BSAPI 3.56.0 (2022-12-15) New: GID XL5 model (for…
Languages supported by Speech To Text and Keyword Spotting Standard = Maintained until newer generation is released, or end of support is reached. Language generation is specified by the number in “Model name”. Language (region) Model name Released End of support Maintenance Arabic (Gulf, Kuwait) AR_KW_6 2022-04 8th gen. Standard Arabic (Levantine) AR_XL_6 2021-05 8th gen. Standard AR_XL_5 2020-08 7th…
…Speech Platform. We improved and released mainly Phonexia Speech Engine v3.50 (SPE, REST API). Major Changes: New Features and Fixes Speech Engine: Speech to Text (STT) We have several exciting new features relevant to STT and KWS technologies. Both technologies are part of the Speech Engine (SPE) component: Spanish (General) Model Released (Tech. Model Name: ES_6) It is an upgrade…
…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…
…for REST 3.1.x Removed clear results from context menu in test table Removed export results from context menu in test table Removed settings for gender score sharpness and gender balance Removed result database Technologies has configurable technology models New configuration tab in settings dialog for configuring REST technologies Add speech to text (STT) technology to main toolbar and result table…
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…
…recording, Speech to Text (STT) – several languages supported – converts speech into plain text (words or sentences) automatically, Keyword Spotting (KWS) – several languages supported – detects specific keywords/phrases automatically without conversion to text, Gender identification (GID) – identifies whether a speaker is male or female, Age Estimation (AGE) – estimates the speaker´s age group, Voice Activity Detection (VAD)…
…Quality Estimation Stream [disabled] 17) Speech To Text [disabled] 18) Speech To Text Input Stream [disabled] 19) Time Analysis [disabled] 20) Time Analysis Stream [disabled] 21) Voice Activity Detection [disabled] 22) Voice Activity Detector Stream Technology [disabled] 23) Enable all 24) Disable all 0) Quit Choose technology to configure [0]:23 Select the option to Enable all technologies (usually the option…
…Browser, FAQ Speech Platform Permalink Q: What is the difference between on-the-fly and off-line type of speech to text transcription (STT)? A: 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….
…e.g. “WiFi” vs. “HiFi”, “cell” vs. “sell”, “eighty machines” vs. “eight tea-machines” etc. Usually, the language model part of the Speech To Text does its job and prefers the correct word in the context of longer phrase or entire sentence: × I’m going to cell my car. Hmmm, such sentence does not sound like common English… √ I’m going to…
…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…
…only English models for Speech To Text and Keyword Spotting. Additional supported languages are available upon request. ⓘ Click to show/hide the package content Speech Engine – technologies included: Speech To Text (STT) – model EN_US_6 (US English) Keyword Spotting (KWS) – model EN_US_6 (US English) Phoneme Recognizer (PHNREC) – model EN_US_6 (US English) Speaker Identification 4 (SID4) – model…
This article aims on giving more details about Speech To Text outputs and hints on how to tailor Speech To Text to suit best your needs. In the process of transcribing speech, the Speech To Text technology usually identifies multiple alternatives for individual speech segments, as multiple phrases can have similar pronunciations, possibly with different word boundaries, e.g. “eight tea…
Phonexia Speech Engine (SPE) is main part of Phonexia Speech Platform. SPE is a server application for 64-bit Linux or Windows, providing REST API to entire portfolio of Phonexia speech technologies. SPE capabilities overview: Audio files and stream processing Audio files RTP / HTTP streams Speaker Identification (SID) ✓ ✓ Speech To Text (STT) ✓ ✓ Keyword Spotting (KWS) ✓…