This part requires higher (and non-anonymous) access level.
How to solve this situation:
- Log in here if you are not logged in.
- Register here. It takes just a few clicks and it’s free.
Search: speaker
43 results
This part requires higher (and non-anonymous) access level.
How to solve this situation:
A: Threshold for score isn’t set up correctly. Adjust speaker score sharpness value to calibrate the recalculation. Please see Calibration in technology documentation….
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. The dictate engine, also known as on-the-fly transcription, does not look to the future and has information about just a few…
…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…
Gender Identification is a language-, domain- and channel-independent technology that uses the acoustic characteristics of the recording to determine the gender of the speaker in question. This technology is able to distinguish between two genders: Male (M) and Female (F). Minimum of speech signal for identification: 7+ sec recommended with XL5, XL4 and L4 model (9+ sec for previous generation…
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…
…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…
…with linear coding 16bit/8bit, sampling rate 8kHz+ Wide variety of speakers (50+) of various age and gender is required, to ensure rich variety of “language sounds” Only single language in the dataset NOTE: mixing in a different language negatively affects the resulting recognition accuracy Audio length: ideally between 1 and 5 minutes of speech signal NOTE: it is not possible…
…in our example is 36 seconds. After stripping silence, it gets 14 seconds – this means that original audio contains 38% of net speech and 62% of silence. Phonexia speech technologies analyze the entire recording, but pick only the speech segments for AI processing, i.e. the absolute processing time will be practically the same… Creating voiceprint by Speaker Identification took:…
…specifying longer phrases does not bring any benefit number of preferred phrases is not limited… but from practical perspective, using hundreds or thousands of phrases is questionable (such a huge number means “prefer basically anything what the speaker says”, which defeats its purpose) only 5th or newer STT generations support preferred phrases Question: So, what to put in the preferred…
…Data The data directory holds additional data files for entities created by that user – e.g. SID Speaker Models, or LID language packs. If no such entities exist for that user, this directory is empty. Unlike the storage, content of this directory is intended to be manipulated by SPE only and should not be manipulated directly on the filesystem level….
…not visible by SPE and by the account. Similar trickery can be done with the data directory, allowing to share LID language models and language packs, or SID speaker models, etc. between accounts. User accounts management SPE user accounts can be managed using REST API (see Administration section of the API documentation), or using command line administration utilities phxadmin or…
MODULE 3: Voice Biometrics technologies (23 min) Common generic rules for CLI, REST and GUI Speaker Identification (SID) in CLI, REST and GUI Language Identification (LID) in CLI, REST and GUI Gender Identification (GID) in CLI, REST and GUI Summary https://www.youtube.com/watch?v=AyEoPfYVel8…