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Q: What are the supported audio formats?

Formats supported directly and natively are: WAVE (*.wav) container including any of: unsigned 8-bit PCM (u8) unsigned 16-bit PCM (u16le) IEEE float 32-bit (f32le) A-law (alaw) µ-law (mulaw) ADPCM FLAC codec inside FLAC (*.flac) container OPUS codec inside OGG (*.opus) container Other audio formats must be converted to one of those natively supported using external tools. SPE server can be…

Video – Getting started with SPE

MODULE 1: Getting started with Speech Engine (19 min) Installation Technologies configuration Server and database configuration Users configuration Files processing Synchronous and asynchronous requests, results polling Stream processing https://youtu.be/4qrB-GfFdWY…

Q: What languages do you offer?

It depends on the technology. Phonexia Language Identification (LID) is pre-trained for 60+ languages. Phonexia Keyword Spotting (KWS) and Phonexia Speech Transcription (STT) for 20+ languages including English, French, German, Russian, Spanish and many more….

Video – Speech Analytics technologies

MODULE 4: Speech Analytics technologies (23 min) Common generic rules for CLI, REST and GUI Speech To Text (STT) in CLI, REST and GUI Keyword Spotting (KWS) in CLI, REST and GUI Phoneme Recognizer (PHNREC) in CLI, REST and GUI Time Analysis Extraction (TAE) in CLI, REST and GUI Summary https://www.youtube.com/watch?v=-FAoRywqv7U…

Video – Filtering and supporting technologies

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…

Q: What do LLR, LR and score mean?

A: These abbreviations mean the following: LR – likelihood ratio, result from statistical test for two models comparison. It returns a number which expresses how many times more likely the data are under one model than the other. LR meets numbers in interval <0;+inf). LLR – abbreviation for log-likelihood ratio statistic, logarithmic function of LR. LLR meets numbers in interval…

Video – Voice Biometrics technologies

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…

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 total (i.e. 3 to 5 recordings per speaker*) 1+ minute of net speech…

Download Semantic Search demo

This package lets new users try and evaluate the semantic search functionality on their data, privately. No connection to the internet is needed for the operation. Hardware requirements recommended: Intel Core i7 or better, 10 GB RAM, 26 GB storage (SSD preferred) You have two options to choose from: Docker image Virtual Appliance with the docker image already imported on…