Search Results for: Audio Source Profile

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Open Source Acknowledgement

Relevance: 100%      Posted on: 2018-04-06

This page collect information about Open Source code and licenses. You might be interested to ask your Phonexia contact what part of the page is relevant to your project. BSAPI 3 dependencies Name Version License Link type ADVobfuscator 1.1 link static boost 1.70 Boost License static botan 2.7.0 Simplified BSD static duktape 2.5.0 MIT static FLAC 1.3.2 BSD license static fmt 5.2.1 MIT static glibc - GNU LGPL dynamic (Linux) minizip 1.2.11 link static mkl 2019.1.144 ISSL static nowide 0.1.1 Boost License static Open Fst 1.6.9 Apache license static ogg 1.3.3 BSD license static onnxruntime 1.1.0 MIT static opus 1.2.1…

Supported audio formats

Relevance: 100%      Posted on: 2018-12-10

Supported audio format 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 using external tools. SPE server can be configured to support automated conversion on background, see SPE configuration hints. Great tools for converting other than supported formats to supported are ffmpeg (http://www.ffmpeg.org) or SoX (http://sox.sourceforge.net/). Both are multiplatform software tools for MS Windows, Linux and Apple OS X. Example of usage: ffmpeg ffmpeg -i <source_audio_file_name>…

Error 1007: Unsupported audio format

Relevance: 100%      Posted on: 2018-12-10

Phonexia Browser application may return error "1007: Unsupported audio format" during uploading audio file. Please consider if your audio files are in . But if you need use as input audio recordings in other formats, you can configure SPE for audio automated conversion. As prerequisite install external tool for audio conversion. Recommend is ffmpeg utility, powerful and well documented. Please find your distribution package at http://ffmpeg.org Then continue as described below: Using Phonexia Browser with embed SPE Open the Browser configuration dialog by click on button "Settings" located in tool ribbon. Select tab "Speech Engine" and configure SPE as described…

Speaker Identification: Results Enhancement

Relevance: 27%      Posted on: 2019-05-29

Speaker Identification (SID) Results Enhancement is a process that adjusts the score threshold for detecting/rejecting speakers by removing the effect of speech length and audio quality. This is achieved by use of Audio Source Profiles, that represent as closely as possible the source of the speech recording (device, acoustic channel, distance from microphone, language, gender, etc.). Although the out-of-the-box system is robust in such factors, several result enhancement procedures can provide even better results and stronger evidence. Audio Source Profile An Audio Source Profile is a representation of the speech source, e.g., device, acoustic channel, distance from microphone, language, gender,…

Browser3 – Releases and Changelogs

Relevance: 27%      Posted on: 2020-03-27

Phonexia Browser v3 (Browser3) is developed as client on top of Phonexia Speech Engine v3. Phonexia Browser is a successor of Phonexia Speech Intelligence Resolver v1 (SIR1). This page lists changes in Browser releases. Releases Changelogs Phonexia Browser v3.30.0, BSAPI 3.30.0 - Mar 27 2020 Public release Fixed: Target and non-target graphs in SID evaluator are swapped Fixed: PDF chart could be empty in the SID evaluator report Fixed: JSON parsing error during evaluation set creation when some file doesn't contain any speech Updated: Synchronize versioning with BSAPI Phonexia Browser v3.26.0, BSAPI 3.26.0 - Feb 28 2020 Non-public Feature Preview release…

Speech To Text

Relevance: 18%      Posted on: 2019-05-27

Phonexia Speech To Text – also known as a voice-to-text or speech recognition – converts speech signals into plain text. After the conversion, text can be easily read, edited, searched, processed by text-based data mining tools or archived. Phonexia Speech To Text 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. Typical use cases look for specific information in large call archives (e.g., claims inspection) get additional value by advanced analysis of call traffic (e.g., topic detection) maintain short reaction times by routing calls…

Q: I found the following error: ApplicationStartup: Unhandled exception: BsapiException. What does it mean?

Relevance: 18%      Posted on: 2017-06-27

[Error] ApplicationStartup: Unhandled exception: BsapiException: SWaveformSegmenterI(/mnt/phxspe/home/phx/storage/dfs/a1cabcf7-c761-49f1 -a9bc-0a8209a09fd9.opus Requested segment (78056, 102056) is out of waveform range (0,91840). Any ideas what this means? A: It means that this opus file is created improperly and declares internally (in header) much more audio than available in real file. Please check your audio source/originator for proper functionality. Or use ffmpeg / sox utility as preprocessor of the audio and do audio normalization by self-conversion from opus to opus before recordings are processed through SPE.

Speaker Identification (SID)

Relevance: 18%      Posted on: 2019-06-13

Phonexia Speaker Identification uses the power of voice biometry to recognize speakers by their voice... i.e. to decide whether the voice in two recordings belongs to the same person or two different people. High accuracy of Speaker Identification, the Phonexia's flagship technology, has been validated in a NIST Speaker Recognition Evaluations. Basic use cases and application areas The technology can be used for various speaker recognition tasks. One basic distinction is based on the kind of question we want to answer. Speaker Identification is the case when we are asking "Whose voice is this?", such as in fake emergency calls.…