Phonexia’s Speech Quality Estimation quantifies the acoustic quality of recordings. This helps the user to quickly determine whether the acoustic quality of a recording is good for processing with other speech technologies or not. As an answer for SQE, the SPE returns a json/xml file. This file includes general information about the technology and statistics of all (one or two)…
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A: Signal-to-Noise Ratio (SNR) is an important metric of whether a recording is worth further processing by other speech technologies, so it is part of our Speech Quality Estimation. However, calculating SNR automatically is not a trivial task. We use the fact that the statistical distribution of the frequencies in the waveform of speech has Gamma distribution. In contrast, noise…
Table of Contents Toggle Speech Platform release 3.60 New features and fixes Previous Releases Speech Platform Public Release Fall 2022 (SPE v3.55) Speech Platform public release Spring 2022 (SPE v3.50) Speech Platform public release Fall 2021 (SPE v3.45) Speech Platform release 3.60 Here is a summary of most important new features and fixes since last Public Release 3.55. New features…
…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…
…10) Speaker Identification 4 VoicePrint Extractor [active model: XL5(1x)] 11) Speaker Identification 4 VoicePrint Comparator [active model: XL5(1x)] 12) Speaker Identification 4 VoicePrint Calibration [active model: XL5(1x)] 13) Speaker Identification 4 VoicePrint Stream Extractor [active model: XL5(1x)] 14) Speaker Identification 4 VoicePrint Stream Comparator [active model: XL5(1x)] 15) Speech Quality Estimation [active model: GENERIC(1x)] 16) Speech Quality Estimation Stream [active…
…– detects the audio part that contains voice, Speech Quality Estimation (SQE) – measures the quality of speech, Phoneme Recognizer (PHNREC) – several languages supported – converts speech into phonemes (written characters representing pronunciation), Waveform Denoiser (DENOISER) – automatically improves the audibility of speech for human listeners. Supported Languages The LID, STT and KWS technologies support various languages as listed…
…granted during off-line transcription, speech engine can correct result before it is printed out by taking into account also the subsequent segments. The beginning of the recording can then be recognized with high accuracy too. in FAQ Speech Platform Permalink Q: How do you calculate SNR in Speech Quality Estimation? A: Signal-to-Noise Ratio (SNR) is an important metric of whether…
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…XL5 Diarization (DIAR) – model XL4 Language Identification (LID) – model L4 Gender Identification (GID) – model XL5 Age Estimation (AGE) ) – model XL5 Voice Activity Detection (VAD) – model GENERIC_3 and SID4_XL5 Speech Quality Estimation (SQE) Time Analysis Extraction (TAE) Waveform Denoiser (DENOISER) Phonexia Browser example audio (in ./BROWSER/example/ and ./SPE/bsapi/{technology}/example/) Step #2 – First start To get…
…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…
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) ✓…
…and their usages Filtering and supporting technologies 04:32 Speech Quality Estimation (SQE) 05:27 Voice Activity Detection (VAD) 06:37 Diarization (DIAR) 07:41 Age Estimation (AGE) 08:14 Waveform Denoiser Voice Biometrics technologies 08:56 Speaker Identification (SID) 10:18 Language Identification (LID) 11:10 Gender Identification (GID) Speech Analytics technologies 11:43 Speech Transcription (STT) 12:30 Keyword Spotting (KWS) 13:32 Phoneme Recognition (PHNREC) 13:54 Time Analysis…
MODULE 2: Filtering and supporting technologies (22 min) Common generic rules for CLI, REST and GUI Filtering, sorting, pre-/post-processing overview Speech Quality Estimation (SQE) in CLI, REST and GUI Voice Activity Detection (VAD) in CLI, REST and GUI Diarization (DIAR) in CLI, REST and GUI Age Estimation (AGE) in CLI, REST and GUI Denoiser (DENOISER) in CLI, REST and GUI…
…Speaker Identification, Speaker Diarization, Phoneme Recognizer, Voice Activity Detection, Speech Quality Estimation A search for repetitive sound patterns across all recordings in audio due to the automatic phonemic transcription Input: Questioned recordings (a minimum of 1 recording) Suspected speaker recordings (a minimum of 1 recording) The Population set (a technical minimum of 10 speakers, and a recommended minimum of 50…