Phonexia Speaker Identification uses the power of voice biometry to recognize speakers by their voice… i.e. to decide whether the voice in two recordings belongs to the same person or two different people. Our goal as a regular participant of the NIST Speaker Recognition Evaluations (SRE) series is to contribute to the direction of research efforts and the calibration of…
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…available on the server, i.e. including those not currently running New: Added possibility to set score thresholds when calling GET/POST /technologies/speakerid4 (useful to limit the number of returned results when using large speaker groups) New: Added base docker image without any technology (phonexia/spe:3.61.0). Useful as a base image. Doesn’t work on its own. Fixed: Incorrect timestamps in multichannel diarization results…
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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…
Speaker Identification (SID) Results Enhancement is a process that adjusts the score threshold for detecting/rejecting speakers by removing the effect of speech length and audio quality. This is achieved by use of Audio Source Profiles, that represent as closely as possible the source of the speech recording (device, acoustic channel, distance from microphone, language, gender, etc.). Although the out-of-the-box system…
…the Phonexia sales representative. Phonexia Voice Inspector 5.0 brings a Speaker Identification model XL5, that provides more accurate results for telephony data in comparison with previous generations of Speaker Identification models such as SID4 XL4. Users can observe that the SID4 XL5 model returns different values of LLR scores which are used for evidence calculation. Therefore Speaker Identification score distribution…
…column in Results pane New: Added “Minimum confidence to display” setting for Keyword Spotting in Settings dialog -> Scoring tab (affects number of hits displayed in Results pane) Phonexia Browser 3.51 Phonexia Browser 3.51.0, BSAPI 3.51.0 (2022-06-14) New: Compatibility with SPE 3.51 (e.g. option to set number of workers automatically) Changed: Show also numbers for AGE results Phonexia Browser 3.50…
Phonexia Voice Inspector software offers several features that strongly support the work of voice forensic experts: A standalone application with a complete easy-to-use Graphical User Interface (GUI) Automatic comparison of questioned recording (unknown speaker recording or voiceprint) against a suspected reference speaker (group of recordings or voiceprints) with a known speaker i.e. 1:1 identification and 1:N identification. Implemented speech technologies:…
…✓ 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…
…performance precisely, it’s important to prepare evaluation recordings set very carefully. The requirements are: 50+ known speakers, 200+ recordings in total (i.e. 3 to 5 recordings per speaker*) 1+ minute of net speech in each recording (i.e. usually 2+ minutes recording length) only one speaker in each recording wide variety of gender and age is recommended recordings should be as…
…FAQ Voice Inspector Permalink Q: What are the requirements for SID evaluation dataset? For evaluating the real life scenario of Phonexia Speaker Identification technology, the system needs to be calibrated by SID dataset. SID dataset (minimum requirements): To measure SID performance precisely, it’s important to prepare evaluation recordings set very carefully. The requirements are: 50+ known speakers, 200+ recordings in…
For evaluating the real life scenario of Phonexia Speaker Identification technology, the system needs to be calibrated by SID dataset. SID dataset (minimum requirements): To measure SID performance precisely, it’s important to prepare evaluation recordings set very carefully. The requirements are: 50+ known speakers, 200+ recordings in total (i.e. 3 to 5 recordings per speaker*) 1+ minute of net speech…
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…of speech technologies (precision of speaker identification, transcription accuracy, etc.). Therefore it is essential to have as clean audio as possible. ? DO’S ? DON’TS Capture the sound as close to the source as possible, i.e. as close to the speaker’s mouth as possible as close to the recording source as possible to minimize the amount of ambient sounds and…