Phonexia Phoneme Recogniser (PHNREC) converts speech signals into pronunciation characters (so called phonemes). After the conversion, the pronunciation (text) can be easily indexed and searched by third party text data mining tools. The technology is optimized for noisy recordings and colloquial speech, can process audio files as well as audio streams and can provide results in several output formats. Phoneme…
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…technologies 11:43 Speech Transcription (STT) 12:30 Keyword Spotting (KWS) 13:32 Phoneme Recognition (PHNREC) 13:54 Time Analysis Extraction (TAE) 14:22 Speech Platform architecture; Speech Engine, Phonexia Browser, Phonexia Voice Inspector brief 18:52 HW and SW requirements, typical deployment topologies 21:34 Supported file- and stream formats, typical implementations and data flows 27:29 Licensing technical options 32:24 Summary, recommended next steps https://youtu.be/DDu0Y1rgQ6k…
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…
…Speech Engine documentation); stream not supported, technology model name to be used for processing. Output: audio file (WAV or RAW), together with xml/json report (in SPE only). Fig.: Comparison of original recording (david_noisy.wav, top half of image) and same recording processed by Denoiser (david_denoised.wav, bottom half of the image). Typical Questions Q: What do you recommend for deploying this technology?…