Phonexia Age Estimation (AGE) estimates the age of a speaker from audio recording or voiceprint. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Audio: WAV or RAW (8 or 16 bits linear…
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…Other technologies New Gender Identification (GID) model XL5 (since 3.56.0) This enables GID to use voiceprints created by the brand new Speaker Identification 4 model XL5 New Age Estimation (AGE) models XL4 and XL5 (since 3.57.0) This enables AGE to use voiceprints created by the Speaker Identification 4 model XL4 and XL5 New Voice Activity Detection (VAD) model SID4_XL5 (since…
…to start processing your recordings with Phonexia Speech Technologies. 1. Download Evaluation package Download the Phonexia Evaluation package from https://partner.phonexia.com/kb/sp/speech-platform/evaluation-package/ Simply unzip the package to your desired location. Ideally avoid C:/Program Files as you may face issues later on with previleges 2. Save license.dat file Copy the license.dat file to the /SPE/ directory. Make sure the license.dat file is not…
…LID language pack, hash of the file contained in the custom language pack report is incorrectly calculated (occurs mainly in Windows) Fixed: Items builtin_language_models and custom_language_models in a body of POST /technologies/languageid/languagepacks/{name} are now optional. At least one of them must not be empty. Fixed: Better server response message when language model was not found during creation of new LID…
…may use them for both training a new language pack and testing/comparing against an existing language pack. The language-prints need to be compatible only with the model of LID used for language-print extraction. in FAQ Speech Platform Permalink Q: What are the recommendations for LID adaptation set? A: The following is recommended: For adding new language to language pack 20+…
…✓ Voice Activity Detection (VAD) ✓ ✓ Time Analysis Extraction (TAE) ✓ ✓ Speech Quality Estimation (SQE) ✓ ✓ Language Identification (LID) ✓ Gender Identification (GID) ✓ Age Estimation (AGE) ✓ Speaker Diarization (DIAR) ✓ Results caching Processing results can be optionally stored in results cache database to speed up eventual re-processing of the same recordings by the same technology…
…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)…
…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…
…the technology and model. However, this feature should be used only in special cases, e.g. if suggested by Phonexia experts. SPE users should normally not fiddle around with BSAPI configuration files… and if some technology config customization is needed, the user configuration file is the right method. Technology names supported in technologies configuration file: AGE Age Estimation DENOISER Denoiser DIAR…
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)…
…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…
…population sets (population sets support speech length compensation) The added dialog which offers to import new population sets into the user’s workspace Forbid usage of recordings with low SNR score Added settings of Scoring: the base of the logarithm of evidence score (log10 or ln) estimation of non-target distribution recording’s speech length compensation (beta) SID Evaluator improvements: The evidence table…
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