Quality of the audio is extremely important for satisfactory results of any speech processing technology, being it simple voice activity detection, speech transcription, voice biometry, or other. There are two main aspects of audio quality: technical quality of the audio data (format, codec, bitrate, SNR, …) sound quality of the actual content (background noise, reverberations, …) Technical quality Using inappropriate…
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…✓ Voice Activity Detection (VAD) ✓ ✓ Time Analysis Extraction (TAE) ✓ ✓ Speech Quality Estimation (SQE) ✓ ✓ Language Identification (LID) ✓ Gender Identification (GID) ✓ Age Estimation (AGE) ✓ Speaker Diarization (DIAR) ✓ Results caching Processing results can be optionally stored in results cache database to speed up eventual re-processing of the same recordings by the same technology…
…language model to be used for transcription. As an output the transcription in one of the formats is provided. The technology extract features out of voice, using acoustic and language models together with pronunciation all in recognition network creates a hypothesis of transcribed words and „decode“ the most possible transcription. Based on requested output types one or more transcribed text…
Speaker Diarization labels segments of the same voice(s) in one mono-channel audio record based by the individual speaker´s voice. It is a language-, domain- and channel-independent technology. It performs not only the segmentation of speakers but of technical signals and silence as well. The outputs of the technology can be both log files with labels and/or split audio files/one new…
…specific hardware (mainly CPU, virtualized infrastructure vs. HW) or are you going to buy specific HW for customer? What is short/long time storage requirements (ie. audio and results availability, desktop vs. distributed system)? Is there any synchronization required (ie. voiceprint database to clients)? What is the topology of the solution/app (ie. where to store audio, voiceprints, results, …)? How to…
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…
…noise, technical signals like ringing, DTMF tones, etc). This metric is useful for finding performance on actual audio data coming into audio processing pipeline. Regular recording with Voice and Silence segments in waveform Net Speech based FtRT is conservative, purely technical number. It is calculated from only spoken speech data, i.e. with all non-speech parts (silence, noise, DTMF tones, etc.)…
…(or bank branch): Post office is a place providing different kinds of services – one can go there to send letters, send or pick up packages, get a POBox, get some financial services, insurance, etc.). Speech Engine has various speech technologies configured – one can analyze the audio quality, extract voiceprints from recordings, compare voiceprints, transcribe audio to text, etc….
…external dependencies like databases, storages, etc.) would require additional resources. Therefore you should always perform a proper load test using your entire system to determine the actual HW requirements. To give you a picture, here are recommendations for typical configurations: Voice Biometrics, basic 100 hours/day package (***) files processing CPU: 8 physical cores, 1x Intel® Xeon E5-2640 v4 or similar…
…in the particular direction and details about crosstalk, for example where the other speaker is talking “over” this speaker Segmentation This section is optional and need to be explicitly turned on. It describes segments of detected voice and silence (the same as Voice Activity Detection technology). More information You can find more information in corresponding chapter of API documentation: https://download.phonexia.com/docs/spe/#Time%20Analysis…
About Main idea of the Phonexia Academy is to help partners to understand the market, Phonexia’s products and technologies. Sell more, deliver your projects on time and at the highest quality, and support your clients effectively. We provide following trainings: Phonexia technologies introduction (online video course) Technical Training Essentials (online video course) Technical Training Advanced – 2 courses: Voice Biometrics…
A: Check your license file (license.dat) by opening it in Notepad. Make sure the license contains records for all required modules. See Licensing article for additional information…
A: Please attach the licensing file (license.dat) to the support ticket at our Service Desk….
…XL5 Diarization (DIAR) – model XL4 Language Identification (LID) – model L4 Gender Identification (GID) – model XL5 Age Estimation (AGE) ) – model XL5 Voice Activity Detection (VAD) – model GENERIC_3 and SID4_XL5 Speech Quality Estimation (SQE) Time Analysis Extraction (TAE) Waveform Denoiser (DENOISER) Phonexia Browser example audio (in ./BROWSER/example/ and ./SPE/bsapi/{technology}/example/) Step #2 – First start To get…
…of MySQL database connections at the time. Default is 32 # server.db.mysql.max_connections = 32 # Maximum size of in-memory cache for calibrated voice-prints of speaker models. Default is 100 # server.db.sid_model_calib_vp_cache_size = 100 Sizing of the system The selection of speech technologies and the number of instances per technology which are instantiated when starting the SPE is configured by the…