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…
Search: speaker search
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…/server/info [#5135] Added groups which speaker model is member of to resource /technologies/speakerid/speakermodels/{name} [#5133] Login of a user can contain any characters except these: /:*?”<>| [#5150] Fixed connection to MySQL database may be lost in case of hight load [#5191] Fixed SID Stream requires calibration technology even if parameter ‘calibset’ was not specified [#5203] Fixed premature access to the result…
…which can be edited by users. Speech Engine: Speaker Identification (SID4) New “floating window” feature for realtime stream processing (since 3.60.0) This new floating_window parameter allows to identify speaker or extract voiceprint from only last X seconds (default 5) of speech in the realtime stream… as opposed to using speech from entire stream audio without using this parameter. Speech Engine:…
…1.3 2015-06-04 2016-12-04 2016-12-04 Public Changelogs Voice Inspector 5.2 Voice Inspector 5.2.0, BSAPI 3.61.0 (2024-04-04) New: New Case wizard checks for presence of Questioned and Reference recordings New: Number of audio channels is displayed in Case view Recording details view Score table view Report Fixed: Application crash with phoneme search Fixed: Generalized logistic distribution for Suspected speaker vs. Suspected speaker…
Phonexia Speaker Identification is a voice biometry tool for recognition of speakers by their voice. In this video, we will show you how to start using this technology! You will learn how to create a “Speaker Model” to identify a speaker in a set of data. Ready to test it? Start with our video: What else is needed? 1. Phonexia…
…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…
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…are returned with score and time frame. Application areas: Maintain high reaction times by routing calls with specific content/topic to human operators Search for specific information in large call archives Data-mine audio content and index for search Advanced topic/content analysis provides additional value. Technology overview Trained with emphasis on spontaneous telephony conversation Based on state-of-the-art techniques for acoustic modeling,…