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…
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Voice Activity Detection is a language-, domain- and channel-independent technology that identifies parts of audio recordings with speech content vs. non-speech content. It creates labels for speech and other signals in the recording; this can then serve as a decision point whether to process the recording by other technologies or not. VAD is usually part of rapid filtration process in…
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)…
Each Partner has their own administration and back up policy. Here, we highlight the most important SPE components to be administrated and backed up. Administration It is strongly recommended to describe your own administration approach with the following components SPE users (accounts) – Partner should maintain list of SPE users (accounts). There should be only few persons with “admin” role….
Before designing and developing the application, we encourage Partner to find clear answer for the following questions: Customer requirements: Do my customers need file processing (audio) or stream processing in real time? What is the human power of the customer that can analyze the results? How many minutes per day or streams in parallel do my customer need to process?…
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…
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…
…Browser. in FAQ Phonexia Browser, FAQ Speech Platform Permalink 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. in FAQ Phonexia Browser, FAQ Speech Platform Permalink Q: What…
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…
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…
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…